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2020 – today
- 2024
- [j50]Frank Wanye
, Vitaliy Gleyzer
, Edward K. Kao
, Wu-chun Feng
:
SamBaS: Sampling-Based Stochastic Block Partitioning. IEEE Trans. Netw. Sci. Eng. 11(3): 3053-3065 (2024) - [c217]Saikat Dey
, Sonal Jha
, Wu-chun Feng
:
G2A2: Graph Generator with Attributes and Anomalies. CF 2024 - [c216]Wu-chun Feng
, Xuewen Cui
, Thomas Scogland
, Bronis R. de Supinski
:
BLP: Block-Level Pipelining for GPUs. CF 2024 - [c215]Niteya Shah, Christine Sweeney, Vinay Ramakrishnaiah, Jeffrey Donatelli, Wu-Chun Feng:
Optimizing and Scaling the 3D Reconstruction of Single-Particle Imaging. IPDPS 2024: 253-264 - 2023
- [c214]Sonal Jha
, Wu-chun Feng
:
GRAPPEL: A Graph-based Approach for Early Risk Assessment of Acute Hypertension in Critical Care. BCB 2023: 36:1-36:6 - [c213]Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-Chun Feng:
Exact Distributed Stochastic Block Partitioning. CLUSTER 2023: 25-36 - [c212]Frank Wanye, Wu-Chun Feng:
On the Multi-Dimensional Acceleration of Stochastic Blockmodeling for Community Detection. CLUSTER Workshops 2023: 70-71 - [c211]Atharva Gondhalekar, Wu-chun Feng:
On the Three P's of Parallel Programming for Heterogeneous Computing: Performance, Productivity, and Portability. HPEC 2023: 1-7 - [c210]Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng:
An Integrated Approach for Accelerating Stochastic Block Partitioning. HPEC 2023: 1-7 - [i7]Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng:
Exact Distributed Stochastic Block Partitioning. CoRR abs/2305.18663 (2023) - 2022
- [c209]Atharva Gondhalekar, Thomas Twomey, Wu-chun Feng:
On the Characterization of the Performance-Productivity Gap for FPGA. HPEC 2022: 1-8 - [c208]Paul Sathre, Atharva Gondhalekar, Wu-chun Feng:
Edge-Connected Jaccard Similarity for Graph Link Prediction on FPGA. HPEC 2022: 1-10 - [c207]Karim Youssef, Abdullah Al Raqibul Islam, Keita Iwabuchi, Wu-chun Feng, Roger Pearce:
Optimizing Performance and Storage of Memory-Mapped Persistent Data Structures. HPEC 2022: 1-7 - [c206]Karim Youssef, Niteya Shah, Maya B. Gokhale, Roger Pearce, Wu-chun Feng:
AutoPager: Auto-tuning Memory-Mapped I/O Parameters in Userspace. HPEC 2022: 1-7 - [c205]Frank Wanye
, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng:
On the Parallelization of MCMC for Community Detection. ICPP 2022: 87:1-87:13 - [i6]Saikat Dey, Sonal Jha, Wu-chun Feng:
G2A2: An Automated Graph Generator with Attributes and Anomalies. CoRR abs/2210.07449 (2022) - 2021
- [j49]Xuewen Cui
, Wu-chun Feng:
IterML: Iterative Machine Learning for Intelligent Parameter Pruning and Tuning in Graphics Processing Units. J. Signal Process. Syst. 93(4): 391-403 (2021) - [c204]Karim Youssef, Keita Iwabuchi, Wu-Chun Feng, Roger Pearce:
Privateer: Multi-versioned Memory-mapped Data Stores for High-Performance Data Science. HPEC 2021: 1-7 - [c203]Sajal Dash
, Qais Al-Hajri, Wu-chun Feng, Harold R. Garner, Ramu Anandakrishnan:
Scaling Out a Combinatorial Algorithm for Discovering Carcinogenic Gene Combinations to Thousands of GPUs. IPDPS 2021: 837-846 - [c202]Sajal Dash
, Junqi Yin, Mallikarjun Shankar, Feiyi Wang, Wu-chun Feng:
Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary. DRBSD@SC 2021: 11-18 - [i5]Frank Wanye, Vitaliy Gleyzer, Edward K. Kao, Wu-chun Feng:
Topology-Guided Sampling for Fast and Accurate Community Detection. CoRR abs/2108.06651 (2021) - [i4]Garvit Goel, Jingyuan Qi, Wu-chun Feng, Guohua Cao:
A Deep-Learning Framework for Improving COVID-19 CT Image Quality and Diagnostic Accuracy. CoRR abs/2112.09216 (2021) - 2020
- [j48]Moeti Masiane, Anne Driscoll, Wu-chun Feng, John E. Wenskovitch
, Chris North:
Towards insight-driven sampling for big data visualisation. Behav. Inf. Technol. 39(7): 788-807 (2020) - [c201]Vignesh Adhinarayanan, Wu-chun Feng:
Approximate Pattern Matching for On-Chip Interconnect Traffic Prediction. PACT 2020: 357-358 - [c200]Sarunya Pumma, Daniele Buono, Fabio Checconi, Xinyu Que, Wu-chun Feng:
Alleviating Load Imbalance in Data Processing for Large-Scale Deep Learning. CCGRID 2020: 262-271 - [c199]Karim Youssef, Wu-chun Feng:
SparkLeBLAST: Scalable Parallelization of BLAST Sequence Alignment Using Spark. CCGRID 2020: 539-548 - [c198]Atharva Gondhalekar, Wu-Chun Feng:
Exploring FPGA Optimizations in OpenCL for Breadth-First Search on Sparse Graph Datasets. FPL 2020: 133-137 - [c197]Wu-chun Feng, Da Zhang, Jing Zhang, Kaixi Hou, Sarunya Pumma, Hao Wang:
A Feasibility Study for MPI over HDFS. HPEC 2020: 1-7 - [c196]Paul Sathre, Atharva Gondhalekar, Mohamed W. Hassan, Wu-Chun Feng:
MetaCL: Automated "Meta" OpenCL Code Generation for High-Level Synthesis on FPGA. HPEC 2020: 1-8 - [c195]Gregory D. Abram, Vignesh Adhinarayanan, Wu-chun Feng, David H. Rogers, James P. Ahrens
:
ETH: An Architecture for Exploring the Design Space of In-situ Scientific Visualization. IPDPS 2020: 515-526
2010 – 2019
- 2019
- [j47]Sarunya Pumma, Min Si, Wu-Chun Feng, Pavan Balaji:
Scalable Deep Learning via I/O Analysis and Optimization. ACM Trans. Parallel Comput. 6(2): 6:1-6:34 (2019) - [j46]Xiaodong Yu, Hao Wang, Wu-chun Feng, Hao Gong, Guohua Cao:
GPU-Based Iterative Medical CT Image Reconstructions. J. Signal Process. Syst. 91(3-4): 321-338 (2019) - [c194]Ahmed E. Helal, Ashwin M. Aji, Michael L. Chu, Bradford M. Beckmann, Wu-chun Feng:
Adaptive Task Aggregation for High-Performance Sparse Solvers on GPUs. PACT 2019: 324-336 - [c193]Xuewen Cui
, Wu-chun Feng:
Iterative machine learning (IterML) for effective parameter pruning and tuning in accelerators. CF 2019: 16-23 - [c192]Paul Sathre, Mark K. Gardner, Wu-chun Feng:
On the Portability of CPU-Accelerated Applications via Automated Source-to-Source Translation. HPC Asia 2019: 1-8 - [c191]Mohamed W. Hassan, Scott Pakin
, Wu-chun Feng:
C to D-Wave: A High-level C Compilation Framework for Quantum Annealers. HPEC 2019: 1-8 - [c190]Frank Wanye
, Vitaliy Gleyzer, Wu-chun Feng:
Fast Stochastic Block Partitioning via Sampling. HPEC 2019: 1-7 - 2018
- [j45]Kaixi Hou
, Hao Wang
, Wu-Chun Feng:
A Framework for the Automatic Vectorization of Parallel Sort on x86-Based Processors. IEEE Trans. Parallel Distributed Syst. 29(5): 958-972 (2018) - [c189]Jing Zhang, Ashwin M. Aji, Michael L. Chu, Hao Wang, Wu-chun Feng:
Taming irregular applications via advanced dynamic parallelism on GPUs. CF 2018: 146-154 - [c188]Bishwajit Dutta, Vignesh Adhinarayanan, Wu-chun Feng:
GPU power prediction via ensemble machine learning for DVFS space exploration. CF 2018: 240-243 - [c187]Ahmed E. Helal, Changhee Jung, Wu-chun Feng, Yasser Y. Hanafy:
CommAnalyzer: automated estimation of communication cost and scalability on HPC clusters from sequential code. HPDC 2018: 80-91 - [c186]Konstantinos Krommydas, Paul Sathre, Ruchira Sasanka, Wu-chun Feng:
A Framework for Auto-Parallelization and Code Generation: An Integrative Case Study with Legacy FORTRAN Codes. ICPP 2018: 57:1-57:10 - [c185]Kaixi Hou, Hao Wang, Wu-chun Feng, Jeffrey S. Vetter, Seyong Lee
:
Highly Efficient Compensation-Based Parallelism for Wavefront Loops on GPUs. IPDPS 2018: 276-285 - [c184]Vignesh Adhinarayanan, Bishwajit Dutta, Wu-chun Feng:
Making a Case for Green High-Performance Visualization Via Embedded Graphics Processors. IPDPS Workshops 2018: 721-724 - [c183]Mohamed W. Hassan, Ahmed E. Helal, Peter M. Athanas, Wu-Chun Feng, Yasser Y. Hanafy:
Exploring FPGA-specific Optimizations for Irregular OpenCL Applications. ReConFig 2018: 1-8 - [c182]Paul Sathre, Ahmed E. Helal, Wu-chun Feng:
A Composable Workflow for Productive Heterogeneous Computing on FPGAs via Whole-Program Analysis and Transformation. ReConFig 2018: 1-8 - 2017
- [j44]Sarunya Pumma, Wu-chun Feng, Phond Phunchongharn, Sylvain Chapeland, Tiranee Achalakul:
A runtime estimation framework for ALICE. Future Gener. Comput. Syst. 72: 65-77 (2017) - [j43]Annette C. Feng, Mark K. Gardner, Wu-chun Feng:
Parallel programming with pictures is a Snap! J. Parallel Distributed Comput. 105: 150-162 (2017) - [j42]Jing Zhang, Hao Wang, Wu-chun Feng:
cuBLASTP: Fine-Grained Parallelization of Protein Sequence Search on CPU+GPU. IEEE ACM Trans. Comput. Biol. Bioinform. 14(4): 830-843 (2017) - [c181]Xiaodong Yu, Kaixi Hou, Hao Wang, Wu-chun Feng:
Robotomata: A framework for approximate pattern matching of big data on an automata processor. IEEE BigData 2017: 283-292 - [c180]Xiaodong Yu, Hao Wang, Wu-chun Feng, Hao Gong, Guohua Cao:
An Enhanced Image Reconstruction Tool for Computed Tomography on CPUs. Conf. Computing Frontiers 2017: 97-106 - [c179]Kaixi Hou, Hao Wang, Wu-chun Feng:
GPU-UniCache: Automatic Code Generation of Spatial Blocking for Stencils on CPUs. Conf. Computing Frontiers 2017: 107-116 - [c178]Anshuman Verma, Huiyang Zhou
, Skip Booth, Robbie King, James Coole, Andy Keep, John Marshall, Wu-chun Feng:
Developing Dynamic Profiling and Debugging Support in OpenCL for FPGAs. DAC 2017: 56:1-56:6 - [c177]Sajal Dash, Anshuman Verma, Chris North, Wu-chun Feng:
Portable Parallel Design of Weighted Multi-Dimensional Scaling for Real-Time Data Analysis. HPCC/SmartCity/DSS 2017: 10-17 - [c176]Sarunya Pumma, Min Si, Wu-chun Feng, Pavan Balaji:
Towards Scalable Deep Learning via I/O Analysis and Optimization. HPCC/SmartCity/DSS 2017: 223-230 - [c175]Sarunya Pumma, Min Si, Wu-chun Feng, Pavan Balaji:
Parallel I/O Optimizations for Scalable Deep Learning. ICPADS 2017: 720-729 - [c174]Marziyeh Nourian, Xiang Wang, Xiaodong Yu, Wu-chun Feng, Michela Becchi:
Demystifying automata processing: GPUs, FPGAs or Micron's AP? ICS 2017: 1:1-1:11 - [c173]Kaixi Hou, Weifeng Liu
, Hao Wang
, Wu-chun Feng:
Fast segmented sort on GPUs. ICS 2017: 12:1-12:10 - [c172]Ahmed E. Helal, Wu-chun Feng, Changhee Jung, Yasser Y. Hanafy:
AutoMatch: An automated framework for relative performance estimation and workload distribution on heterogeneous HPC systems. IISWC 2017: 32-42 - [c171]Xiaodong Yu, Kaixi Hou, Hao Wang, Wu-chun Feng:
A framework for fast and fair evaluation of automata processing hardware. IISWC 2017: 120-121 - [c170]Jing Zhang, Sanchit Misra, Hao Wang, Wu-chun Feng:
Eliminating Irregularities of Protein Sequence Search on Multicore Architectures. IPDPS 2017: 62-71 - [c169]Xuewen Cui
, Thomas R. W. Scogland, Bronis R. de Supinski, Wu-chun Feng:
Directive-Based Partitioning and Pipelining for Graphics Processing Units. IPDPS 2017: 575-584 - [c168]Hao Wang, Jing Zhang, Da Zhang, Sarunya Pumma, Wu-chun Feng:
PaPar: A Parallel Data Partitioning Framework for Big Data Applications. IPDPS 2017: 605-614 - [c167]Kaixi Hou, Wu-chun Feng, Shuai Che:
Auto-Tuning Strategies for Parallelizing Sparse Matrix-Vector (SpMV) Multiplication on Multi- and Many-Core Processors. IPDPS Workshops 2017: 713-722 - [c166]Vignesh Adhinarayanan
, Wu-chun Feng, David H. Rogers, James P. Ahrens
, Scott Pakin:
Characterizing and Modeling Power and Energy for Extreme-Scale In-Situ Visualization. IPDPS 2017: 978-987 - 2016
- [j41]Jing Zhang, Sanchit Misra, Hao Wang, Wu-chun Feng:
muBLASTP: database-indexed protein sequence search on multicore CPUs. BMC Bioinform. 17: 443:1-443:14 (2016) - [j40]Ashwin M. Aji, Antonio J. Peña
, Pavan Balaji, Wu-chun Feng:
MultiCL: Enabling automatic scheduling for task-parallel workloads in OpenCL. Parallel Comput. 58: 37-55 (2016) - [j39]Xiaokui Shu, Jing Zhang, Danfeng (Daphne) Yao
, Wu-chun Feng:
Fast Detection of Transformed Data Leaks. IEEE Trans. Inf. Forensics Secur. 11(3): 528-542 (2016) - [j38]Ashwin M. Aji, Lokendra S. Panwar, Feng Ji, Karthik Murthy, Milind Chabbi, Pavan Balaji, Keith R. Bisset, James Dinan, Wu-chun Feng, John M. Mellor-Crummey
, Xiaosong Ma, Rajeev Thakur
:
MPI-ACC: Accelerator-Aware MPI for Scientific Applications. IEEE Trans. Parallel Distributed Syst. 27(5): 1401-1414 (2016) - [j37]Konstantinos Krommydas, Wu-chun Feng, Christos D. Antonopoulos
, Nikolaos Bellas
:
OpenDwarfs: Characterization of Dwarf-Based Benchmarks on Fixed and Reconfigurable Architectures. J. Signal Process. Syst. 85(3): 373-392 (2016) - [c165]Xiaodong Yu, Wu-chun Feng, Danfeng (Daphne) Yao
, Michela Becchi:
O3FA: A Scalable Finite Automata-based Pattern-Matching Engine for Out-of-Order Deep Packet Inspection. ANCS 2016: 1-11 - [c164]Konstantinos Krommydas, Ruchira Sasanka, Wu-chun Feng:
Bridging the FPGA programmability-portability Gap via automatic OpenCL code generation and tuning. ASAP 2016: 213-218 - [c163]Ramu Anandakrishnan
, Mayank Daga, Alexey Onufriev
, Wu-chun Feng:
Multiscale Approximation with Graphical Processing Units for Multiplicative Speedup in Molecular Dynamics. BCB 2016: 453-462 - [c162]Xiaodong Yu, Hao Wang, Wu-chun Feng, Hao Gong, Guohua Cao:
cuART: Fine-Grained Algebraic Reconstruction Technique for Computed Tomography Images on GPUs. CCGrid 2016: 165-168 - [c161]Vignesh Adhinarayanan
, Balaji Subramaniam, Wu-chun Feng:
Online Power Estimation of Graphics Processing Units. CCGrid 2016: 245-254 - [c160]Xuewen Cui
, Thomas R. W. Scogland, Bronis R. de Supinski, Wu-Chun Feng:
Directive-Based Pipelining Extension for OpenMP. CLUSTER 2016: 481-484 - [c159]Konstantinos Krommydas, Ahmed E. Helal, Anshuman Verma, Wu-chun Feng:
Bridging the Performance-Programmability Gap for FPGAs via OpenCL: A Case Study with OpenDwarfs. FCCM 2016: 198 - [c158]Konstantinos Krommydas, Wu-Chun Feng:
Telescoping Architectures: Evaluating Next-Generation Heterogeneous Computing. HiPC 2016: 162-171 - [c157]Hao Wang
, Weifeng Liu
, Kaixi Hou, Wu-chun Feng:
Parallel Transposition of Sparse Data Structures. ICS 2016: 33:1-33:13 - [c156]Vignesh Adhinarayanan
, Indrani Paul, Joseph L. Greathouse, Wei Huang, Ashutosh Pattnaik, Wu-chun Feng:
Measuring and modeling on-chip interconnect power on real hardware. IISWC 2016: 23-33 - [c155]Kaixi Hou, Hao Wang, Wu-chun Feng:
AAlign: A SIMD Framework for Pairwise Sequence Alignment on x86-Based Multi-and Many-Core Processors. IPDPS 2016: 780-789 - [c154]Annette C. Feng, Wu-chun Feng:
Parallel Programming with Pictures in a Snap! IPDPS Workshops 2016: 950-957 - [c153]Chung-Hsing Hsu, Wu-chun Feng:
The Right Metric for Efficient Supercomputing: A Ten-Year Retrospective. IPDPS Workshops 2016: 1090-1093 - [c152]Vignesh Adhinarayanan
, Wu-chun Feng:
An automated framework for characterizing and subsetting GPGPU workloads. ISPASS 2016: 307-317 - [c151]Islam Harb, Wu-Chun Feng:
Characterizing Performance and Power towards Efficient Synchronization of GPU Kernels. MASCOTS 2016: 451-456 - [c150]Ahmed E. Helal, Paul Sathre, Wu-chun Feng:
MetaMorph: a library framework for interoperable kernels on multi- and many-core clusters. SC 2016: 119-129 - 2015
- [j36]Juan Antonio Gómez Pulido
, Bertil Schmidt, Wu-chun Feng:
Accelerating Bioinformatics Applications via Emerging Parallel Computing Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 12(5): 971-972 (2015) - [j35]Thomas R. W. Scogland, Wu-chun Feng, Barry Rountree, Bronis R. de Supinski:
CoreTSAR: Core Task-Size Adapting Runtime. IEEE Trans. Parallel Distributed Syst. 26(11): 2970-2983 (2015) - [c149]Ashwin Mandayam Aji, Antonio J. Peña
, Pavan Balaji, Wu-chun Feng:
Automatic Command Queue Scheduling for Task-Parallel Workloads in OpenCL. CLUSTER 2015: 42-51 - [c148]Xiaokui Shu, Jing Zhang, Danfeng Yao
, Wu-chun Feng:
Rapid Screening of Transformed Data Leaks with Efficient Algorithms and Parallel Computing. CODASPY 2015: 147-149 - [c147]Da Zhang, Hao Wang, Kaixi Hou, Jing Zhang, Wu-chun Feng:
pDindel: Accelerating indel detection on a multicore CPU architecture with SIMD. ICCABS 2015: 1-6 - [c146]Konstantinos Krommydas, Ruchira Sasanka, Wu-chun Feng:
GLAF: A Visual Programming and Auto-tuning Framework for Parallel Computing. ICPP 2015: 859-868 - [c145]Kaixi Hou, Hao Wang, Wu-chun Feng:
ASPaS: A Framework for Automatic SIMDization of Parallel Sorting on x86-based Many-core Processors. ICS 2015: 383-392 - [c144]Xiaokui Shu, Jing Zhang, Danfeng Yao
, Wu-chun Feng:
Rapid and parallel content screening for detecting transformed data exposure. INFOCOM Workshops 2015: 191-196 - [c143]Wu-chun Feng, Barry Rountree:
HPPAC Introduction and Committees. IPDPS Workshops 2015: 848 - [c142]Rubasri Kalidas, Mayank Daga, Konstantinos Krommydas, Wu-chun Feng:
On the Performance, Energy, and Power of Data-Access Methods in Heterogeneous Computing Systems. IPDPS Workshops 2015: 871-879 - [c141]Vignesh Adhinarayanan
, Wu-chun Feng, Jonathan Woodring, David H. Rogers, James P. Ahrens
:
On the Greenness of In-Situ and Post-Processing Visualization Pipelines. IPDPS Workshops 2015: 880-887 - [c140]Thomas R. W. Scogland, Wu-chun Feng:
Design and Evaluation of Scalable Concurrent Queues for Many-Core Architectures. ICPE 2015: 63-74 - [i3]Balaji Subramaniam, Wu-chun Feng:
Towards Energy-Proportional Computing Using Subsystem-Level Power Management. CoRR abs/1501.02724 (2015) - [i2]Balaji Subramaniam, Wu-chun Feng:
On the Energy Proportionality of Scale-Out Workloads. CoRR abs/1501.02729 (2015) - 2014
- [j34]Jiangling Yin, Junyao Zhang, Jun Wang
, Wu-chun Feng:
SDAFT: A novel scalable data access framework for parallel BLAST. Parallel Comput. 40(10): 697-709 (2014) - [c139]Thomas R. W. Scogland, Wu-Chun Feng:
Locality-aware memory association for multi-target worksharing in OpenMP. PACT 2014: 515-516 - [c138]Konstantinos Krommydas, Wu-chun Feng, Muhsen Owaida, Christos D. Antonopoulos
, Nikolaos Bellas
:
On the characterization of OpenCL dwarfs on fixed and reconfigurable platforms. ASAP 2014: 153-160 - [c137]Balaji Subramaniam, Wu-chun Feng:
Enabling Efficient Power Provisioning for Enterprise Applications. CCGRID 2014: 71-80 - [c136]Thomas R. W. Scogland, Wu-chun Feng:
Runtime Adaptation for Autonomic Heterogeneous Computing. CCGRID 2014: 562-565 - [c135]Carlo C. del Mundo, Wu-chun Feng:
Towards a performance-portable FFT library for heterogeneous computing. Conf. Computing Frontiers 2014: 11:1-11:10 - [c134]Jiangling Yin, Jun Wang
, Wu-chun Feng, Xuhong Zhang, Junyao Zhang:
SLAM: scalable locality-aware middleware for I/O in scientific analysis and visualization. HPDC 2014: 257-260 - [c133]Nataliya Timoshevskaya, Wu-chun Feng:
SAIS-OPT: On the characterization and optimization of the SA-IS algorithm for suffix array construction. ICCABS 2014: 1-6 - [c132]Kaixi Hou, Hao Wang, Wu-chun Feng:
Delivering Parallel Programmability to the Masses via the Intel MIC Ecosystem: A Case Study. ICPP Workshops 2014: 273-282 - [c131]Jing Zhang, Hao Wang, Heshan Lin, Wu-chun Feng:
cuBLASTP: Fine-Grained Parallelization of Protein Sequence Search on a GPU. IPDPS 2014: 251-260 - [c130]James E. McClure, Hao Wang, Jan F. Prins, Cass T. Miller, Wu-chun Feng:
Petascale Application of a Coupled CPU-GPU Algorithm for Simulation and Analysis of Multiphase Flow Solutions in Porous Medium Systems. IPDPS 2014: 583-592 - [c129]Vignesh Adhinarayanan
, Thaddeus Koehn, Krzysztof Kepa
, Wu-chun Feng, Peter Athanas:
On the performance and energy efficiency of FPGAs and GPUs for polyphase channelization. ReConFig 2014: 1-7 - [c128]Balaji Subramaniam, Wu-chun Feng:
On the Energy Proportionality of Distributed NoSQL Data Stores. PMBS@SC 2014: 264-274 - [c127]Thomas R. W. Scogland, Wu-chun Feng, Barry Rountree, Bronis R. de Supinski:
CoreTSAR: Adaptive Worksharing for Heterogeneous Systems. ISC 2014: 172-186 - [c126]Mohamed Nabeel, Nabanita Maji, Jing Zhang, Nataliya Timoshevskaya, Wu-chun Feng:
Aeromancer: A Workflow Manager for Large-Scale MapReduce-Based Scientific Workflows. TrustCom 2014: 739-746 - [c125]Thomas R. W. Scogland, Craig P. Steffen
, Torsten Wilde, Florent Parent
, Susan Coghlan, Natalie J. Bates, Wu-chun Feng, Erich Strohmaier:
A power-measurement methodology for large-scale, high-performance computing. ICPE 2014: 149-159 - 2013
- [j33]Eugene Kolker, Vural Özdemir, Lennart Martens, William Hancock, Gordon A. Anderson, Nathaniel Anderson, Sukru Aynacioglu, Ancha V. Baranova
, Shawn R. Campagna, Rui Chen, John Choiniere, Stephen P. Dearth, Wu-Chun Feng, Lynnette Ferguson, Geoffrey C. Fox, Dmitrij Frishman, Robert Grossman, Allison P. Heath, Roger Higdon, Mara H. Hutz, Imre Janko, Lihua Jiang, Sanjay Joshi, Alexander E. Kel, Joseph W. Kemnitz, Isaac S. Kohane, Natali Kolker, Doron Lancet, Elaine Lee, Weizhong Li, Andrey Lisitsa, Adrian Llerena
, Courtney MacNealy-Koch, Jean-Claude Marshall, Paola Masuzzo
, Amanda May
, George Mias, Matthew E. Monroe, Elizabeth Montague, Sean D. Mooney
, Alexey I. Nesvizhskii, Santosh Noronha, Gilbert S. Omenn
, Harsha Rajasimha, Preveen Ramamoorthy, Jerry Sheehan, Larry Smarr, Charles V. Smith, Todd Smith, Michael Snyder
, Srikanth Rapole, Sanjeeva Srivastava, Larissa Stanberry, Elizabeth Stewart, Stefano Toppo
, Peter Uetz
, Kenneth Verheggen
, Brynn H. Voy, Louise Warnich
, Steven W. Wilhelm
, Gregory Yandl:
Toward More Transparent and Reproducible Omics Studies Through a Common Metadata Checklist and Data Publications. Big Data 1(4): 196-201 (2013) - [j32]Tom Scogland
, Balaji Subramaniam, Wu-chun Feng:
The Green500 list: escapades to exascale. Comput. Sci. Res. Dev. 28(2-3): 109-117 (2013) - [j31]Kenneth S. Lee, Heshan Lin, Wu-chun Feng:
Performance characterization of data-intensive kernels on AMD Fusion architectures. Comput. Sci. Res. Dev. 28(2-3): 175-184 (2013) - [j30]Balaji Subramaniam, Wu-chun Feng:
GBench: benchmarking methodology for evaluating the energy efficiency of supercomputers. Comput. Sci. Res. Dev. 28(2-3): 221-230 (2013) - [j29]Mark K. Gardner, Paul Sathre, Wu-chun Feng, Gabriel Martinez:
Characterizing the challenges and evaluating the efficacy of a CUDA-to-OpenCL translator. Parallel Comput. 39(12): 769-786 (2013) - [c124]Jing Zhang, Heshan Lin, Pavan Balaji, Wu-chun Feng:
Optimizing Burrows-Wheeler Transform-Based Sequence Alignment on Multicore Architectures. CCGRID 2013: 377-384 - [c123]Umar Kalim, Mark K. Gardner, Eric J. Brown, Wu-chun Feng:
Cascaded TCP: Applying pipelining to TCP for efficient communication over wide-area networks. GLOBECOM 2013: 2256-2262 - [c122]Balaji Subramaniam, Winston Saunders, Tom Scogland
, Wu-chun Feng:
Trends in energy-efficient computing: A perspective from the Green500. IGCC 2013: 1-8 - [c121]Jing Zhang, Hao Wang, Heshan Lin, Wu-chun Feng:
Consolidating Applications for Energy Efficiency in Heterogeneous Computing Systems. HPCC/EUC 2013: 399-406 - [c120]Ashwin M. Aji, Lokendra S. Panwar, Feng Ji, Milind Chabbi, Karthik Murthy, Pavan Balaji, Keith R. Bisset, James Dinan, Wu-chun Feng, John M. Mellor-Crummey, Xiaosong Ma, Rajeev Thakur:
On the efficacy of GPU-integrated MPI for scientific applications. HPDC 2013: 191-202 - [c119]Carlo C. del Mundo, Vignesh Adhinarayanan
, Wu-chun Feng:
Accelerating fast Fourier Transform for wideband channelization. ICC 2013: 4776-4780 - [c118]Umar Kalim, Mark K. Gardner, Eric J. Brown, Wu-chun Feng:
Seamless Migration of Virtual Machines across Networks. ICCCN 2013: 1-7 - [c117]Palden Lama, Yan Li, Ashwin M. Aji, Pavan Balaji, James Dinan, Shucai Xiao, Yunquan Zhang, Wu-chun Feng, Rajeev Thakur
, Xiaobo Zhou:
pVOCL: Power-Aware Dynamic Placement and Migration in Virtualized GPU Environments. ICDCS 2013: 145-154 - [c116]Vignesh Adhinarayanan
, Wu-chun Feng:
Wideband Channelization for Software-Defined Radio via Mobile Graphics Processors. ICPADS 2013: 86-93 - [c115]Konstantinos Krommydas, Thomas R. W. Scogland, Wu-chun Feng:
On the Programmability and Performance of Heterogeneous Platforms. ICPADS 2013: 224-231 - [c114]Lokendra S. Panwar, Ashwin M. Aji, Jiayuan Meng, Pavan Balaji, Wu-chun Feng:
Online Performance Projection for Clusters with Heterogeneous GPUs. ICPADS 2013: 283-290 - [c113]Konstantinos Krommydas, Muhsen Owaida, Christos D. Antonopoulos
, Nikolaos Bellas
, Wu-chun Feng:
On the Portability of the OpenCL Dwarfs on Fixed and Reconfigurable Parallel Platforms. ICPADS 2013: 432-433 - [c112]Ashwin M. Aji, Pavan Balaji, James Dinan, Wu-chun Feng, Rajeev Thakur
:
Synchronization and Ordering Semantics in Hybrid MPI+GPU Programming. IPDPS Workshops 2013: 1020-1029 - [c111]Jiangling Yin, Junyao Zhang, Jun Wang
, Wu-chun Feng:
SDAFT: a novel scalable data access framework for parallel BLAST. DISCS@SC 2013: 1-6 - [c110]Balaji Subramaniam, Wu-chun Feng:
Towards energy-proportional computing for enterprise-class server workloads. ICPE 2013: 15-26 - 2012
- [j28]Mayank Daga, Wu-chun Feng:
Multi-dimensional characterization of electrostatic surface potential computation on graphics processors. BMC Bioinform. 13(S-5): S4 (2012) - [j27]Heshan Lin, Xiaosong Ma, Wu-chun Feng:
Reliable MapReduce computing on opportunistic resources. Clust. Comput. 15(2): 145-161 (2012) - [j26]Yong Cao, Debprakash Patnaik, Sean P. Ponce, Jeremy S. Archuleta, Patrick Butler, Wu-chun Feng, Naren Ramakrishnan
:
Parallel Mining of Neuronal Spike Streams on Graphics Processing Units. Int. J. Parallel Program. 40(6): 605-632 (2012) - [c109]Shucai Xiao, Pavan Balaji, James Dinan, Qian Zhu, Rajeev Thakur
, Susan Coghlan, Heshan Lin, Gaojin Wen
, Jue Hong, Wu-chun Feng:
Transparent Accelerator Migration in a Virtualized GPU Environment. CCGRID 2012: 124-131 - [c108]Feng Ji, Ashwin M. Aji, James Dinan, Darius Buntinas, Pavan Balaji, Rajeev Thakur
, Wu-chun Feng, Xiaosong Ma:
DMA-Assisted, Intranode Communication in GPU Accelerated Systems. HPCC-ICESS 2012: 461-468 - [c107]Ashwin M. Aji, James Dinan, Darius Buntinas, Pavan Balaji, Wu-chun Feng, Keith R. Bisset, Rajeev Thakur
:
MPI-ACC: An Integrated and Extensible Approach to Data Movement in Accelerator-based Systems. HPCC-ICESS 2012: 647-654 - [c106]Paul Sathre, Mark K. Gardner, Wu-chun Feng:
Lost in Translation: Challenges in Automating CUDA-to-OpenCL Translation. ICPP Workshops 2012: 89-96 - [c105]Balaji Subramaniam, Wu-chun Feng:
Characterizing the Performance and Energy Efficiency of Simultaneous Multithreading in Multicore Environments. ICPP Workshops 2012: 592-593 - [c104]Thomas Scogland
, Barry Rountree, Wu-chun Feng, Bronis R. de Supinski:
Heterogeneous Task Scheduling for Accelerated OpenMP. IPDPS 2012: 144-155 - [c103]Balaji Subramaniam, Wu-chun Feng:
The Green Index: A Metric for Evaluating System-Wide Energy Efficiency in HPC Systems. IPDPS Workshops 2012: 1007-1013 - [c102]Feng Ji, Ashwin M. Aji, James Dinan, Darius Buntinas, Pavan Balaji, Wu-chun Feng, Xiaosong Ma:
Efficient Intranode Communication in GPU-Accelerated Systems. IPDPS Workshops 2012: 1838-1847 - [c101]Shucai Xiao, Wu-chun Feng:
Generalizing the Utility of GPUs in Large-Scale Heterogeneous Computing Systems. IPDPS Workshops 2012: 2554-2557 - [c100]Umar Kalim, Mark K. Gardner, Eric J. Brown, Wu-chun Feng:
Abstract: Cascaded TCP: BIG Throughput for BIG DATA Applications in Distributed HPC. SC Companion 2012: 1420-1421 - [c99]Umar Kalim, Mark K. Gardner, Eric J. Brown, Wu-chun Feng:
Poster: Cascaded TCP: BIG Throughput for BIG DATA Applications in Distributed HPC. SC Companion 2012: 1422 - [c98]Wu-chun Feng, Heshan Lin, Thomas Scogland
, Jing Zhang:
OpenCL and the 13 dwarfs: a work in progress. ICPE 2012: 291-294 - [c97]Ryan K. Braithwaite, Wu-chun Feng, Patrick S. McCormick:
Automatic NUMA characterization using Cbench. ICPE 2012: 295-298 - 2011
- [j25]Heshan Lin, Xiaosong Ma, Wu-chun Feng, Nagiza F. Samatova:
Coordinating Computation and I/O in Massively Parallel Sequence Search. IEEE Trans. Parallel Distributed Syst. 22(4): 529-543 (2011) - [c96]Ashwin M. Aji, Mayank Daga, Wu-chun Feng:
Bounding the effect of partition camping in GPU kernels. Conf. Computing Frontiers 2011: 27 - [c95]Marwa K. Elteir, Heshan Lin, Wu-chun Feng:
Performance Characterization and Optimization of Atomic Operations on AMD GPUs. CLUSTER 2011: 234-243 - [c94]Wu-chun Feng:
Energy-efficient E-puting everywhere. HPDC 2011: 109-110 - [c93]Keith R. Bisset, Ashwin M. Aji, Madhav V. Marathe, Wu-chun Feng:
High-performance biocomputing for simulating the spread of contagion over large contact networks. ICCABS 2011: 26-32 - [c92]Mayank Daga, Wu-chun Feng, Thomas Scogland
:
Towards accelerating molecular modeling via multi-scale approximation on a GPU. ICCABS 2011: 75-80 - [c91]Eric J. Brown, Mark K. Gardner, Umar Kalim, Wu-chun Feng:
Restoring End-to-End Resilience in the Presence of Middleboxes. ICCCN 2011: 1-7 - [c90]Konstantinos Krommydas, Christos D. Antonopoulos
, Nikolaos Bellas
, Wu-chun Feng:
AVS video decoder on multicore systems: Optimizations and tradeoffs. ICME 2011: 1-4 - [c89]Chao-Chin Wu, Jenn-Yang Ke, Heshan Lin, Wu-chun Feng:
Optimizing Dynamic Programming on Graphics Processing Units via Adaptive Thread-Level Parallelism. ICPADS 2011: 96-103 - [c88]Gabriel Martinez, Mark K. Gardner, Wu-chun Feng:
CU2CL: A CUDA-to-OpenCL Translator for Multi- and Many-Core Architectures. ICPADS 2011: 300-307 - [c87]Mayank Daga, Thomas Scogland
, Wu-chun Feng:
Architecture-Aware Mapping and Optimization on a 1600-Core GPU. ICPADS 2011: 316-323 - [c86]Marwa K. Elteir, Heshan Lin, Wu-chun Feng, Tom Scogland
:
StreamMR: An Optimized MapReduce Framework for AMD GPUs. ICPADS 2011: 364-371 - [c85]Thomas Scogland
, Balaji Subramaniam, Wu-chun Feng:
Emerging Trends on the Evolving Green500: Year Three. IPDPS Workshops 2011: 822-828 - [c84]Shucai Xiao, Heshan Lin, Wu-chun Feng:
Accelerating Protein Sequence Search in a Heterogeneous Computing System. IPDPS 2011: 1212-1222 - [c83]Kenneth S. Lee, Heshan Lin, Wu-chun Feng:
Poster: characterizing the impact of memory-access techniques on AMD fusion. SC Companion 2011: 75-76 - [r1]Wu-chun Feng, Heshan Lin:
Homology to Sequence Alignment, From. Encyclopedia of Parallel Computing 2011: 834-844 - 2010
- [j24]Andrew S. Warren
, Jeremy S. Archuleta, Wu-chun Feng, João Carlos Setubal
:
Missing genes in the annotation of prokaryotic genomes. BMC Bioinform. 11: 131 (2010) - [j23]Pavan Balaji, Wu-chun Feng, Heshan Lin, Jeremy S. Archuleta, Satoshi Matsuoka, Andrew S. Warren
, João Carlos Setubal
, Ewing L. Lusk, Rajeev Thakur, Ian T. Foster, Daniel S. Katz
, Shantenu Jha, K. Shinpaugh, Susan Coghlan, Daniel A. Reed:
Global-scale distributed I/O with ParaMEDIC. Concurr. Comput. Pract. Exp. 22(16): 2266-2281 (2010) - [j22]Thomas Scogland, Heshan Lin, Wu-chun Feng:
A first look at integrated GPUs for green high-performance computing. Comput. Sci. Res. Dev. 25(3-4): 125-134 (2010) - [j21]Zhenwei Cao, David R. Easterling, Layne T. Watson, Dong Li, Kirk W. Cameron
, Wu-chun Feng:
Power saving experiments for large-scale global optimisation. Int. J. Parallel Emergent Distributed Syst. 25(5): 381-400 (2010) - [c82]Yong Cao, Debprakash Patnaik, Sean P. Ponce, Jeremy S. Archuleta, Patrick Butler, Wu-chun Feng, Naren Ramakrishnan
:
Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware. Conf. Computing Frontiers 2010: 1-10 - [c81]Ashwin M. Aji, Liqing Zhang, Wu-chun Feng:
GPU-RMAP: Accelerating Short-Read Mapping on Graphics Processors. CSE 2010: 168-175 - [c80]Balaji Subramaniam, Wu-chun Feng:
Statistical Power and Performance Modeling for Optimizing the Energy Efficiency of Scientific Computing. GreenCom/CPSCom 2010: 139-146 - [c79]Yang Jiao, Heshan Lin, Pavan Balaji, Wu-chun Feng:
Power and Performance Characterization of Computational Kernels on the GPU. GreenCom/CPSCom 2010: 221-228 - [c78]Balaji Subramaniam, Wu-chun Feng:
Understanding Power Measurement Implications in the Green500 List. GreenCom/CPSCom 2010: 245-251 - [c77]Heshan Lin, Xiaosong Ma, Jeremy S. Archuleta, Wu-chun Feng, Mark K. Gardner, Zhe Zhang:
MOON: MapReduce On Opportunistic eNvironments. HPDC 2010: 95-106 - [c76]Sushant Sharma, Donald W. Gillies, Wu-chun Feng:
On the Goodput of TCP NewReno in Mobile Networks. ICCCN 2010: 1-8 - [c75]Marwa K. Elteir, Heshan Lin, Wu-chun Feng:
Enhancing MapReduce via Asynchronous Data Processing. ICPADS 2010: 397-405 - [c74]Wu-chun Feng, Heshan Lin:
The Green500 List: Year two. IPDPS Workshops 2010: 1-8 - [c73]Shucai Xiao, Wu-chun Feng:
Inter-block GPU communication via fast barrier synchronization. IPDPS 2010: 1-12 - [c72]Wu-chun Feng, Shucai Xiao:
To GPU synchronize or not GPU synchronize? ISCAS 2010: 3801-3804 - [c71]Mark K. Gardner, Wu-chun Feng:
Broadening accessibility to computer science for K-12 education. ITiCSE 2010: 229-233
2000 – 2009
- 2009
- [j20]Wu-chun Feng, Pavan Balaji:
Tools and Environments for Multicore and Many-Core Architectures. Computer 42(11): 26-27 (2009) - [c70]Shucai Xiao, Ashwin M. Aji, Wu-chun Feng:
On the Robust Mapping of Dynamic Programming onto a Graphics Processing Unit. ICPADS 2009: 26-33 - [c69]Ajeet Singh, Pavan Balaji, Wu-chun Feng:
GePSeA: A General-Purpose Software Acceleration Framework for Lightweight Task Offloading. ICPP 2009: 261-268 - [c68]Jeremy S. Archuleta, Yong Cao, Thomas Scogland
, Wu-chun Feng:
Multi-dimensional characterization of temporal data mining on graphics processors. IPDPS 2009: 1-12 - [c67]Wu-chun Feng, Thomas Scogland:
The Green500 List: Year one. IPDPS 2009: 1-7 - [c66]Song Huang, Shucai Xiao, Wu-chun Feng:
On the energy efficiency of graphics processing units for scientific computing. IPDPS 2009: 1-8 - [e1]Leonard Barolli, Wu-chun Feng:
ICPPW 2009, International Conference on Parallel Processing Workshops, Vienna, Austria, 22-25 September 2009. IEEE Computer Society 2009, ISBN 978-0-7695-3803-7 [contents] - [i1]Yong Cao, Debprakash Patnaik, Sean P. Ponce, Jeremy S. Archuleta, Patrick Butler, Wu-chun Feng, Naren Ramakrishnan:
Towards Chip-on-Chip Neuroscience: Fast Mining of Frequent Episodes Using Graphics Processors. CoRR abs/0905.2200 (2009) - 2008
- [j19]Wu-chun Feng, Xizhou Feng, Rong Ge:
Green Supercomputing Comes of Age. IT Prof. 10(1): 17-23 (2008) - [j18]Amitabha Banerjee, Wu-chun Feng, Dipak Ghosal, Biswanath Mukherjee:
Algorithms for Integrated Routing and Scheduling for Aggregating Data from Distributed Resources on a Lambda Grid. IEEE Trans. Parallel Distributed Syst. 19(1): 24-34 (2008) - [c65]Ashwin M. Aji, Wu-chun Feng:
Optimizing performance, cost, and sensitivity in pairwise sequence search on a cluster of PlayStations. BIBE 2008: 1-6 - [c64]Mustafa Arisoylu, Wu-Chun Feng:
Achieving Edge-Based Fairness in a Multi-Hop Environment. CCNC 2008: 414-419 - [c63]Ashwin M. Aji, Wu-chun Feng, Filip Blagojevic, Dimitrios S. Nikolopoulos
:
Cell-SWat: modeling and scheduling wavefront computations on the cell broadband engine. Conf. Computing Frontiers 2008: 13-22 - [c62]Mithilesh Kumar, Vineeta Chaube, Pavan Balaji, Wu-chun Feng, Hyun-Wook Jin:
Making a Case for Proactive Flow Control in Optical Circuit-Switched Networks. HiPC 2008: 491-502 - [c61]Pavan Balaji, Wu-chun Feng, Heshan Lin:
Semantic-based distributed i/o with the paramedic framework. HPDC 2008: 175-184 - [c60]Ganesh Narayanaswamy, Pavan Balaji, Wu-chun Feng:
Impact of Network Sharing in Multi-Core Architectures. ICCCN 2008: 249-254 - [c59]Pavan Balaji, Wu-chun Feng, Jeremy S. Archuleta, Heshan Lin, Rajkumar Kettimuthu, Rajeev Thakur
, Xiaosong Ma:
Semantics-based distributed I/O for mpiBLAST. PPoPP 2008: 293-294 - [c58]Thomas Scogland
, Pavan Balaji, Wu-chun Feng, Ganesh Narayanaswamy:
Asymmetric interactions in symmetric multi-core systems: analysis, enhancements and evaluation. SC 2008: 17 - [c57]Heshan Lin, Pavan Balaji, Ruth Poole, Carlos P. Sosa, Xiaosong Ma, Wu-chun Feng:
Massively parallel genomic sequence search on the Blue Gene/P architecture. SC 2008: 33 - 2007
- [j17]Wu-chun Feng, Kirk W. Cameron
:
The Green500 List: Encouraging Sustainable Supercomputing. Computer 40(12): 50-55 (2007) - [j16]Wu-chun Feng, Dinesh Manocha
:
High-performance computing using accelerators. Parallel Comput. 33(10-11): 645-647 (2007) - [c56]Oystein Thorsen, Brian E. Smith, Carlos P. Sosa, Karl Jiang, Heshan Lin, Amanda E. Peters
, Wu-chun Feng:
Parallel genomic sequence-search on a massively parallel system. Conf. Computing Frontiers 2007: 59-68 - [c55]Ganesh Narayanaswamy, Pavan Balaji, Wu-chun Feng:
An Analysis of 10-Gigabit Ethernet Protocol Stacks in Multicore Environments. Hot Interconnects 2007: 109-116 - [c54]Rong Ge, Xizhou Feng, Wu-chun Feng, Kirk W. Cameron
:
CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters. ICPP 2007: 18 - [c53]Jeremy S. Archuleta, Eli Tilevich
, Wu-chun Feng:
A Maintainable Software Architecture for Fast and Modular Bioinformatics Sequence Search. ICSM 2007: 144-153 - [c52]Wu-chun Feng, Avery Ching, Chung-Hsing Hsu:
Green Supercomputing in a Desktop Box. IPDPS 2007: 1-8 - [c51]Pavan Balaji, Wu-chun Feng, Sitha Bhagvat, Dhabaleswar K. Panda, Rajeev Thakur
, William Gropp
:
Analyzing the impact of supporting out-of-order communication on in-order performance with iWARP. SC 2007: 35 - 2006
- [j15]Pavan Balaji, Wu-chun Feng, Dhabaleswar K. Panda:
Bridging the Ethernet-Ethernot Performance Gap. IEEE Micro 26(3): 24-40 (2006) - [c50]Pallab Datta, Sushant Sharma, Wu-chun Feng:
A Feedback Mechanism for Network Scheduling in LambdaGrids. CCGRID 2006: 584-591 - [c49]Avery Ching, Wu-chun Feng, Heshan Lin, Xiaosong Ma, Alok N. Choudhary:
Exploring I/O Strategies for Parallel Sequence-Search Tools with S3aSim. HPDC 2006: 229-240 - [c48]Wu-chun Feng, Mark K. Gardner, Gigi Karmous-Edwards, Jerry Sobieski, Malathi Veeraraghavan:
When Optical Networking Meets Grid Computing? ICCCN 2006: 137-138 - [c47]Amitabha Banerjee, Wu-chun Feng, Biswanath Mukherjee, Dipak Ghosal:
RAPID: an end-system aware protocol for intelligent data transfer over lambda grids. IPDPS 2006 - [c46]Sushant Sharma, Chung-Hsing Hsu, Wu-chun Feng:
Making a case for a Green500 list. IPDPS 2006 - [c45]Mark K. Gardner, Wu-chun Feng, Jeremy S. Archuleta, Heshan Lin, Xiaosong Ma:
Grid applications - Parallel genomic sequence-searching on an ad-hoc grid: experiences, lessons learned, and implications. SC 2006: 104 - [c44]Pallab Datta, Wu-chun Feng, Sushant Sharma:
Grid networks and portals - End-system aware, rate-adaptive protocol for network transport in LambdaGrid environments. SC 2006: 112 - 2005
- [j14]Justin Gus Hurwitz, Wu-chun Feng:
Analyzing MPI performance over 10-Gigabit ethernet. J. Parallel Distributed Comput. 65(10): 1253-1260 (2005) - [j13]Xiao Zhang, Laxmi N. Bhuyan, Wu-chun Feng:
Anatomy of UDP and M-VIA for cluster communication. J. Parallel Distributed Comput. 65(10): 1290-1298 (2005) - [j12]Cheng Jin, David X. Wei, Steven H. Low, Julian J. Bunn, H. D. Choe, John C. Doyle, Harvey B. Newman, Sylvain Ravot, Suresh Singh, Fernando Paganini, G. Buhrmaster, Roger Les Cottrell, Olivier Martin, Wu-chun Feng:
FAST TCP: from theory to experiments. IEEE Netw. 19(1): 4-11 (2005) - [c43]Pavan Balaji, Wu-chun Feng, Qi Gao, Ranjit Noronha, Weikuan Yu
, Dhabaleswar K. Panda:
Head-to-TOE Evaluation of High-Performance Sockets over Protocol Offload Engines. CLUSTER 2005: 1-10 - [c42]Chung-Hsing Hsu, Wu-chun Feng:
A Feasibility Analysis of Power Awareness in Commodity-Based High-Performance Clusters. CLUSTER 2005: 1-10 - [c41]Wu-chun Feng, Pavan Balaji, Christopher Baron, Laxmi N. Bhuyan, Dhabaleswar K. Panda:
Performance Characterization of a 10-Gigabit Ethernet TOE. Hot Interconnects 2005: 58-63 - [c40]Sami Ayyorgun, Sarut Vanichpun, Wu-chun Feng:
Q-Composer and CpR: a probabilistic synthesizer and regulator of traffic (a probabilistic control of buffer occupancy). INFOCOM 2005: 1303-1315 - [c39]Chung-Hsing Hsu, Wu-chun Feng, Jeremy S. Archuleta:
Towards Efficient Supercomputing: A Quest for the Right Metric. IPDPS 2005 - [c38]Chung-Hsing Hsu, Wu-chun Feng:
A Power-Aware Run-Time System for High-Performance Computing. SC 2005: 1 - 2004
- [j11]Mark K. Gardner, Sunil Thulasidasan, Wu-chun Feng:
User-space auto-tuning for TCP flow control in computational grids. Comput. Commun. 27(14): 1364-1374 (2004) - [j10]Justin Gus Hurwitz, Wu-chun Feng:
End-to-End Performance of 10-Gigabit Ethernet on Commodity Systems. IEEE Micro 24(1): 10-22 (2004) - [c37]Wu-chun Feng:
A Multimodal Interface for the Immediate Transcription of Radiology Dictation. CBMS 2004: 161-166 - [c36]Sami Ayyorgun, Wu-chun Feng:
A Systematic Approach for Providing End-to-End Probabilistic QoS Guarantees. ICCCN 2004: 115-122 - [c35]Adam Engelhart, Mark K. Gardner, Wu-chun Feng:
Re-Architecting Flow Control Adaptation for Grid Environments. IPDPS 2004 - [c34]Chung-Hsing Hsu, Wu-chun Feng:
Effective Dynamic Voltage Scaling Through CPU-Boundedness Detection. PACS 2004: 135-149 - 2003
- [j9]Wu-chun Feng, Mark K. Gardner, Michael E. Fisk, Eric Weigle:
Automatic Flow-Control Adaptation for Enhancing Network Performance in Computational Grids. J. Grid Comput. 1(1): 63-74 (2003) - [j8]Malathi Veeraraghavan, Xuan Zheng, Wu-chun Feng, Hojun Lee, Edwin K. P. Chong
, Hua Li:
Scheduling and Transport for File Transfers on High-Speed Optical Circuits. J. Grid Comput. 1(4): 395-405 (2003) - [j7]Wu-chun Feng:
Making a Case for Efficient Supercomputing. ACM Queue 1(7): 54-64 (2003) - [c33]Mark K. Gardner, Wu-chun Feng, Michael Broxton, Adam Engelhart, Justin Gus Hurwitz:
MAGNET: A Tool for Debugging, Analyzing and Adapting Computing Systems. CCGRID 2003: 310-317 - [c32]Wu-chun Feng:
An Integrated Multimedia Environment for Speech Recognition Using Handwriting and Written Gestures. HICSS 2003: 128 - [c31]Justin Gus Hurwitz, Wu-chun Feng:
Initial end-to-end performance evaluation of 10-Gigabit Ethernet. Hot Interconnects 2003: 116-121 - [c30]Sunil Thulasidasan, Wu-chun Feng, Mark K. Gardner:
Optimizing GridFTP through Dynamic Right-Sizing. HPDC 2003: 14-23 - [c29]Mark K. Gardner, Michael Broxton, Adam Engelhart, Wu-chun Feng:
MUSE: A Software Oscilloscope for Clusters and Grids. IPDPS 2003: 20 - [c28]Wu-chun Feng:
Green Destiny + mpiBLAST = Bioinfomagic. PARCO 2003: 653-660 - [c27]Wu-chun Feng, Sarut Vanichpun:
Enabling Compatibility Between TCP Reno and TCP Vegas. SAINT 2003: 301-308 - [c26]Wu-chun Feng, Justin Gus Hurwitz, Harvey B. Newman, Sylvain Ravot, Roger Les Cottrell, Olivier Martin, Fabrizio Coccetti
, Cheng Jin, David X. Wei, Steven H. Low:
Optimizing 10-Gigabit Ethernet for Networks of Workstations, Clusters, and Grids: A Case Study. SC 2003: 50 - 2002
- [j6]Fabrizio Petrini, Wu-chun Feng, Adolfy Hoisie, Salvador Coll, Eitan Frachtenberg
:
The Quadrics Network: High-Performance Clustering Technology. IEEE Micro 22(1): 46-57 (2002) - [j5]Annette C. Feng, Apu Kapadia, Wu-chun Feng, Geneva G. Belford:
Packet Spacing: An Enabling Mechanism for Delivering Multimedia Content in Computational Grids. J. Supercomput. 23(1): 51-66 (2002) - [j4]Wu-chun Feng, Mark K. Gardner, Jeffrey R. Hay:
The MAGNeT Toolkit: Design, Implementation and Evaluation. J. Supercomput. 23(1): 67-79 (2002) - [c25]Wu-chun Feng, Michael S. Warren, Eric Weigle:
The Bladed Beowulf: A Cost-Effective Alternative to Traditional Beowulf. CLUSTER 2002: 245- - [c24]Wu-chun Feng, Apu Kapadia, Sunil Thulasidasan:
GREEN: proactive queue management over a best-effort network. GLOBECOM 2002: 1774-1778 - [c23]Mark K. Gardner, Wu-chun Feng, Mike Fisk:
Dynamic Right-Sizing in FTP (drsFTP): Enhancing Grid Performance in User-Space. HPDC 2002: 42-49 - [c22]Eric Weigle, Wu-chun Feng:
A Comparison of TCP Automatic Tuning Techniques for Distributed Computing. HPDC 2002: 265- - [c21]Sunil Thulasidasan, Wu-chun Feng:
Using Steady- State TCP Behavior for Proactive Queue Management. International Conference on Internet Computing 2002: 371-378 - [c20]Sarut Vanichpun, Wu-chun Feng:
On the transient behavior of TCP Vegas. ICCCN 2002: 504-508 - [c19]Wu-chun Feng, Michael S. Warren, Eric Weigle:
Honey, I Shrunk the Beowulf! ICPP 2002: 141-150 - [c18]Wu-chun Feng, Mike Fisk, Mark K. Gardner, Eric Weigle:
Dynamic Right-Sizing: An Automated, Lightweight, and Scalable Technique for Enhancing Grid Performance. Protocols for High-Speed Networks 2002: 69-83 - [c17]Michael S. Warren, Eric Weigle, Wu-chun Feng:
High-density computing: a 240-processor Beowulf in one cubic meter. SC 2002: 45:1-45:11 - 2001
- [j3]Fabrizio Petrini, Wu-chun Feng:
Improved resource utilization with buffered coscheduling. Parallel Algorithms Appl. 16(2-3): 123-144 (2001) - [c16]Jeffrey R. Hay, Wu-chun Feng, Mark K. Gardner:
Capturing Network Traffic with a MAGNeT. Annual Linux Showcase & Conference 2001 - [c15]Fabrizio Petrini, Wu-chun Feng, Adolfy Hoisie, Salvador Coll, Eitan Frachtenberg
:
The Quadrics network (QsNet): high-performance clustering technology. Hot Interconnects 2001: 125-130 - [c14]Eric Weigle, Wu-chun Feng:
A Case for TCP Vegas in High-Performance Computational Grids. HPDC 2001: 158- - [c13]Wu-chun Feng, Jeffrey R. Hay, Mark K. Gardner:
MAGNeT: monitor for application-generated network traffic. ICCCN 2001: 110-115 - [c12]Eric Weigle, Wu-chun Feng:
Dynamic right-sizing: a simulation study. ICCCN 2001: 152-158 - [c11]Apu Kapadia, Annette C. Feng, Wu-chun Feng:
The Effects of Inter-packet Spacing on the Delivery of Multimedia Content. ICDCS 2001: 665-672 - [c10]Eitan Frachtenberg
, Fabrizio Petrini, Salvador Coll, Wu-chun Feng:
Gang Scheduling with Lightweight User-Level Communication. ICPP Workshops 2001: 339-348 - [c9]Fabrizio Petrini, Adolfy Hoisie, Wu-chun Feng, Richard Graham:
Performance Evaluation of the Quadrics Interconnection Network. IPDPS 2001: 165 - 2000
- [c8]Peerapol Tinnakornsrisuphap, Wu-chun Feng, Ian R. Philp:
On the Burstiness of the TCP Congestion-Control Mechanism in a Distributed Computing System. ICDCS 2000: 110-117 - [c7]Fabrizio Petrini, Wu-chun Feng:
Scheduling with Global Information in Distributed Systems. ICDCS 2000: 225-232 - [c6]Wu-chun Feng, Peerapol Tinnakornsrisuphap:
The Adverse Impact of the TCP Congestion-Control Mechanism in Heterogeneous Computing Systems. ICPP 2000: 299-306 - [c5]Fabrizio Petrini, Wu-chun Feng:
Buffered Coscheduling: A New Methodology for Multitasking Parallel Jobs on Distributed Systems. IPDPS 2000: 439-444 - [c4]Fabrizio Petrini, Wu-chun Feng:
Time-Sharing Parallel Jobs in the Presence of Multiple Resource Requirements. JSSPP 2000: 113-136 - [c3]Wu-chun Feng, Peerapol Tinnakornsrisuphap:
The Failure of TCP in High-Performance Computational Grids. SC 2000: 37
1990 – 1999
- 1999
- [c2]Wu-chun Feng:
Dynamic Client-Side Scheduling in a Real-Time CORBA System. COMPSAC 1999: 332-333 - [c1]Wu-chun Feng:
The Design of an Open Real-Time System Using CORBA. ICPP Workshops 1999: 468-473 - 1997
- [j2]Wu-chun Feng, Jane W.-S. Liu:
Algorithms for Scheduling Real-Time Tasks with Input Error and End-to-End Deadlines. IEEE Trans. Software Eng. 23(2): 93-106 (1997)
1980 – 1989
- 1989
- [j1]Rangachar Kasturi, Rodney Fernandez, Mukesh L. Amlani, Wu-chun Feng:
Map Data Processing in Geographic Information Systems. Computer 22(12): 10-21 (1989)
Coauthor Index
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To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-30 21:37 CEST by the dblp team
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