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ORCIDLizy Kurian John
Lizy K. John – Lizyamma Kurian
Person information
- affiliation: University of Texas at Austin, USA
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2020 – today
- 2024
[j96]Fernando Mosquera
, Ashen Ekanayake, William Hua, Krishna Kavi, Gayatri Mehta, Lizy Kurian John:
SecurityCloak: Protection against cache timing and speculative memory access attacks. J. Syst. Archit. 150: 103107 (2024)- [j95]Siddhartha Raman Sundara Raman, Lizy Kurian John, Jaydeep P. Kulkarni:
NEM-GNN: DAC/ADC-less, Scalable, Reconfigurable, Graph and Sparsity-Aware Near-Memory Accelerator for Graph Neural Networks. ACM Trans. Archit. Code Optim. 21(2): 39 (2024) - [c218]Qinzhe Wu, Ruihao Li, Jonathan Beard, Lizy Kurian John:
BLQ: Light-Weight Locality-Aware Runtime for Blocking-Less Queuing. CC 2024: 100-112 - [c217]Zhigang Wei, Aman Arora, Emily Shriver, Lizy Kurian John:
Cross-FPGA Power Estimation from High Level Synthesis via Transfer-Learning. FPGA 2024: 187 - [c216]Siddhartha Raman Sundara Raman, Lizy K. John, Jaydeep P. Kulkarni:
SACHI: A Stationarity-Aware, All-Digital, Near-Memory, Ising Architecture. HPCA 2024: 719-731 - [c215]Alan Tendler Leibel Bacellar, Zachary Susskind, Maurício Breternitz Jr., Eugene John, Lizy Kurian John, Priscila Machado Vieira Lima, Felipe M. G. França:
Differentiable Weightless Neural Networks. ICML 2024 - [c214]Bagus Hanindhito, Bhavesh Patel, Lizy K. John:
Bandwidth Characterization of DeepSpeed on Distributed Large Language Model Training. ISPASS 2024: 241-256 - [c213]Bagus Hanindhito, Lizy K. John:
Accelerating ML Workloads using GPU Tensor Cores: The Good, the Bad, and the Ugly. ICPE 2024: 178-189 - [i14]Stefan Abi-Karam, Rishov Sarkar, Allison Seigler, Sean Lowe, Zhigang Wei, Hanqiu Chen, Nanditha Rao, Lizy Kurian John, Aman Arora, Cong Hao:
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond. CoRR abs/2405.00820 (2024) - 2023
- [j94]Fernando Mosquera, Krishna Kavi, Gayatri Mehta, Lizy K. John:
Guard Cache: Creating Noisy Side-Channels. IEEE Comput. Archit. Lett. 22(2): 97-100 (2023) - [j93]Luis A. Q. Villon, Zachary Susskind, Alan T. L. Bacellar, Igor D. S. Miranda, Leandro Santiago de Araújo, Priscila M. V. Lima, Maurício Breternitz, Lizy K. John, Felipe M. G. França, Diego Leonel Cadette Dutra:
A conditional branch predictor based on weightless neural networks. Neurocomputing 555: 126637 (2023) - [j92]Lizy Kurian John:
Environmentally Sustainable Computing. IEEE Micro 43(1): 4-6 (2023) - [j91]Lizy Kurian John:
Emerging System Interconnects Enabling More Opportunities Than Ever! IEEE Micro 43(2): 4-5 (2023) - [j90]Lizy Kurian John:
Hot Chips 34 and More! IEEE Micro 43(3): 4-6 (2023) - [j89]Lizy Kurian John:
Top Picks From Computer Architecture Conferences! IEEE Micro 43(4): 4-5 (2023) - [j88]Lizy Kurian John:
Hardware Security and Privacy: Threats and Opportunities. IEEE Micro 43(5): 4-5 (2023) - [j87]Lizy Kurian John:
TinyML but by No Means a Tiny Feat! IEEE Micro 43(6): 4-6 (2023) - [j86]Zachary Susskind, Aman Arora, Igor D. S. Miranda, Alan T. L. Bacellar, Luis A. Q. Villon, Rafael Fontella Katopodis, Leandro Santiago de Araújo, Diego L. C. Dutra, Priscila M. V. Lima, Felipe M. G. França, Maurício Breternitz, Lizy K. John:
ULEEN: A Novel Architecture for Ultra-low-energy Edge Neural Networks. ACM Trans. Archit. Code Optim. 20(4): 61:1-61:24 (2023) - [j85]Aman Arora, Andrew Boutros, Seyed Alireza Damghani, Karan Mathur, Vedant Mohanty, Tanmay Anand, Mohamed A. Elgammal, Kenneth B. Kent, Vaughn Betz, Lizy K. John:
Koios 2.0: Open-Source Deep Learning Benchmarks for FPGA Architecture and CAD Research. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3895-3909 (2023) - [j84]Aman Arora, Atharva Bhamburkar, Aatman Borda, Tanmay Anand, Rishabh Sehgal, Bagus Hanindhito, Pierre-Emmanuel Gaillardon, Jaydeep Kulkarni, Lizy K. John:
CoMeFa: Deploying Compute-in-Memory on FPGAs for Deep Learning Acceleration. ACM Trans. Reconfigurable Technol. Syst. 16(3): 50:1-50:34 (2023) - [c212]Igor D. S. Miranda, Aman Arora, Zachary Susskind, Josias S. A. Souza, Mugdha P. Jadhao, Luis A. Q. Villon, Diego L. C. Dutra, Priscila M. V. Lima, Felipe M. G. França, Maurício Breternitz, Lizy K. John:
COIN: Combinational Intelligent Networks. ASAP 2023: 27-28 - [c211]Dimitrios Gourounas, Bagus Hanindhito, Arash Fathi, Dimitar Trenev, Lizy K. John, Andreas Gerstlauer:
FAWS: FPGA Acceleration of Large-Scale Wave Simulations. ASAP 2023: 76-84 - [c210]Zhigang Wei, Aman Arora, Ruihao Li, Lizy K. John:
HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis. ASAP 2023: 197-204 - [c209]Zhengrong Wang, Christopher Liu, Aman Arora, Lizy Kurian John, Tony Nowatzki:
Infinity Stream: Portable and Programmer-Friendly In-/Near-Memory Fusion. ASPLOS (3) 2023: 359-375 - [c208]Dimitrios Gourounas, Bagus Hanindhito, Arash Fathi, Dimitar Trenev, Lizy Kurian John, Andreas Gerstlauer:
LAWS: Large-Scale Accelerated Wave Simulations on FPGAs. FPGA 2023: 230 - [c207]Zachary Susskind, Aman Arora, Alan T. L. Bacellar, Diego Leonel Cadette Dutra, Igor D. S. Miranda, Maurício Breternitz, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John:
An FPGA-Based Weightless Neural Network for Edge Network Intrusion Detection. FPGA 2023: 232 - [c206]Ruihao Li, Qinzhe Wu, Krishna Kavi, Gayatri Mehta, Neeraja J. Yadwadkar, Lizy K. John:
NextGen-Malloc: Giving Memory Allocator Its Own Room in the House. HotOS 2023: 135-142 - [c205]Lizy K. John, Felipe M. G. França, Subhasish Mitra, Zachary Susskind, Priscila M. V. Lima, Igor D. S. Miranda, Eugene B. John, Diego L. C. Dutra, Maurício Breternitz:
Dendrite-inspired Computing to Improve Resilience of Neural Networks to Faults in Emerging Memory Technologies. ICRC 2023: 1-5 - [c204]Steffen Jensen, Jaekyu Lee, Dam Sunwoo, Matt Horsnell, Matthew Siggs, Jeeho Ryoo, Lizy K. John:
Do Video Encoding Workloads Stress the Microarchitecture? IISWC 2023: 54-64 - [c203]Ruihao Li, Sanjana Yadav, Qinzhe Wu, Krishna Kavi, Gayatri Mehta, Neeraja J. Yadwadkar, Lizy K. John:
Performance Implications of Async Memcpy and UVM: A Tale of Two Data Transfer Modes. IISWC 2023: 115-127 - [c202]Fernando Mosquera, Krishna Kavi, Gayatri Mehta, Lizy K. John:
Guard Cache: Creating False Cache Hits and Misses To Mitigate Side-Channel Attacks. SVCC 2023: 1-8 - [i13]Zhigang Wei, Aman Arora, Lizy K. John:
HLSDataset: Open-Source Dataset for ML-Assisted FPGA Design using High Level Synthesis. CoRR abs/2302.10977 (2023) - [i12]Zachary Susskind, Aman Arora, Igor D. S. Miranda, Alan T. L. Bacellar, Luis Armando Quintanilla Villon, Rafael Fontella Katopodis, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Priscila M. V. Lima, Felipe M. G. França, Maurício Breternitz Jr., Lizy K. John:
ULEEN: A Novel Architecture for Ultra Low-Energy Edge Neural Networks. CoRR abs/2304.10618 (2023) - [i11]Aman Arora, Jian Weng, Siyuan Ma, Tony Nowatzki, Lizy K. John:
PIMSAB: A Processing-In-Memory System with Spatially-Aware Communication and Bit-Serial-Aware Computation. CoRR abs/2311.11384 (2023) - 2022
- [j83]Lizy Kurian John:
Smart Agriculture and Smart Memories. IEEE Micro 42(1): 4-6 (2022) - [j82]Lizy Kurian John:
Special Issue on Cool Chips and Hot Interconnects. IEEE Micro 42(2): 4-5 (2022) - [j81]Lizy Kurian John:
Hot Chips 33 and More! IEEE Micro 42(3): 4-5 (2022) - [j80]Lizy Kurian John:
Top Picks from 2021 Computer Architecture Conferences! IEEE Micro 42(4): 4-5 (2022) - [j79]Lizy Kurian John:
Automatic Compilation Will Be Key for Success of the Accelerator Revolution! IEEE Micro 42(5): 4-5 (2022) - [j78]Lizy Kurian John:
Artificial Intelligence at the Edge: Designs and Architectures for Pervasive Intelligence. IEEE Micro 42(6): 4-5 (2022) - [j77]Aman Arora, Moinak Ghosh, Samidh Mehta, Vaughn Betz, Lizy K. John:
Tensor Slices: FPGA Building Blocks For The Deep Learning Era. ACM Trans. Reconfigurable Technol. Syst. 15(4): 46:1-46:34 (2022) - [c201]Zachary Susskind, Aman Arora, Igor D. S. Miranda, Luis Armando Quintanilla Villon, Rafael Fontella Katopodis, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Priscila M. V. Lima, Felipe M. G. França, Maurício Breternitz, Lizy K. John:
Weightless Neural Networks for Efficient Edge Inference. PACT 2022: 279-290 - [c200]Igor D. S. Miranda, Aman Arora, Zachary Susskind, Luis Armando Quintanilla Villon, Rafael Fontella Katopodis, Diego Leonel Cadette Dutra, Leandro Santiago de Araújo, Priscila M. V. Lima, Felipe M. G. França, Lizy K. John, Maurício Breternitz:
LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks. ASAP 2022: 19-26 - [c199]Cory Davis, Patrick M. Stockton, Eugene B. John, Zachary Susskind, Lizy K. John:
Characterization of Emerging AI Workloads: Neural Logic Machines and Graph Convolutional Networks. CSCI 2022: 1-6 - [c198]Alan T. L. Bacellar, Zachary Susskind, Luis A. Q. Villon, Igor D. S. Miranda, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Maurício Breternitz Jr., Lizy K. John, Priscila M. V. Lima, Felipe M. G. França:
Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks. ESANN 2022 - [c197]Zachary Susskind, Alan T. L. Bacellar, Aman Arora, Luis A. Q. Villon, Renan Mendanha, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Priscila M. V. Lima, Felipe M. G. França, Igor D. S. Miranda, Maurício Breternitz Jr., Lizy K. John:
Pruning Weightless Neural Networks. ESANN 2022 - [c196]Luis A. Q. Villon, Zachary Susskind, Alan T. L. Bacellar, Igor D. S. Miranda, Leandro Santiago de Araújo, Priscila M. V. Lima, Maurício Breternitz Jr., Lizy K. John, Felipe M. G. França, Diego Leonel Cadette Dutra:
A WiSARD-based conditional branch predictor. ESANN 2022 - [c195]Aman Arora, Tanmay Anand, Aatman Borda, Rishabh Sehgal, Bagus Hanindhito, Jaydeep Kulkarni, Lizy K. John:
CoMeFa: Compute-in-Memory Blocks for FPGAs. FCCM 2022: 1-9 - [c194]Aman Arora, Aatman Borda, Tanmay Anand, Bagus Hanindhito, Lizy K. John:
MathRAMs: Configurable Fused Compute-Memory Blocks for FPGAs. FPGA 2022: 52 - [c193]Qinzhe Wu, Ashen Ekanayake, Ruihao Li, Jonathan Beard, Lizy Kurian John:
SPAMeR: Speculative Push for Anticipated Message Requests in Multi-Core Systems. ICPP 2022: 58:1-58:12 - [c192]Bagus Hanindhito, Dimitrios Gourounas, Arash Fathi, Dimitar Trenev, Andreas Gerstlauer, Lizy K. John:
GAPS: GPU-acceleration of PDE solvers for wave simulation. ICS 2022: 30:1-30:13 - [c191]Steffen Jensen, Jaekyu Lee, Dam Sunwoo, Matthew J. Horsnell, Lizy K. John:
Microarchitectural Performance Evaluation of AV1 Video Encoding Workloads. ISPASS 2022: 251-253 - [c190]Ruihao Li, Aman Arora, Sikan Li, Qinzhe Wu, Lizy K. John:
Hardware-aware 3D Model Workload Selection and Characterization for Graphics and ML Applications. ISQED 2022: 1-8 - [c189]Pragnesh Patel, Aman Arora, Earl E. Swartzlander Jr., Lizy K. John:
LogGen: A Parameterized Generator for Designing Floating-Point Logarithm Units for Deep Learning. ISQED 2022: 1-7 - [c188]Qinzhe Wu, Lizy K. John:
Performance of Java in Function-as-a-Service Computing. UCC 2022: 261-266 - [c187]Nikita Sharma, Ruihao Li, Qinzhe Wu, Lizy K. John:
Performance Impact of NVMe-Over-TCP on HDFS Workloads. UCC 2022: 334-339 - [i10]Zachary Susskind, Aman Arora, Igor Dantas dos Santos Miranda, Luis Armando Quintanilla Villon, Rafael Fontella Katopodis, Leandro Santiago de Araújo, Diego Leonel Cadette Dutra, Priscila Machado Vieira Lima, Felipe Maia Galvão França, Maurício Breternitz Jr., Lizy K. John:
Weightless Neural Networks for Efficient Edge Inference. CoRR abs/2203.01479 (2022) - [i9]Aman Arora, Tanmay Anand, Aatman Borda, Rishabh Sehgal, Bagus Hanindhito, Jaydeep Kulkarni, Lizy K. John:
CoMeFa: Compute-in-Memory Blocks for FPGAs. CoRR abs/2203.12521 (2022) - 2021
- [j76]Lizy Kurian John:
Connectivity - More Needed Than Ever Before. IEEE Micro 41(1): 4-5 (2021) - [j75]Lizy Kurian John:
CPUs, GPUs, and More From Hot Chips'32. IEEE Micro 41(2): 4-5 (2021) - [j74]Lizy Kurian John:
Top Picks From Year 2020. IEEE Micro 41(3): 4-5 (2021) - [j73]Lizy Kurian John:
FPGA Computing and More! IEEE Micro 41(4): 4-5 (2021) - [j72]Lizy Kurian John:
Quantum Computing and More! IEEE Micro 41(5): 4-5 (2021) - [j71]Lizy Kurian John:
Microprocessor at 50: Looking Back and Looking Forward. IEEE Micro 41(6): 5-9 (2021) - [j70]Lizy Kurian John, Vijaykrishnan Narayanan:
Microprocessor at 50: A Time to Celebrate and Energize for the Future. IEEE Micro 41(6): 10-12 (2021) - [j69]Lizy Kurian John, Vijaykrishnan Narayanan:
Microprocessor at 50: Industry Leaders Speak. IEEE Micro 41(6): 13-15 (2021) - [j68]Lizy Kurian John:
From the Memory Lane! IEEE Micro 41(6): 144-147 (2021) - [j67]Bagus Hanindhito, Karthik Swaminathan, Vijaykrishnan Narayanan, Lizy Kurian John:
Intel Wins in Four Decades, but AMD Catches Up. IEEE Micro 41(6): 168-171 (2021) - [j66]Mochamad Asri, Dhairya Malhotra, Jiajun Wang, George Biros, Lizy K. John, Andreas Gerstlauer:
Hardware Accelerator Integration Tradeoffs for High-Performance Computing: A Case Study of GEMM Acceleration in N-Body Methods. IEEE Trans. Parallel Distributed Syst. 32(8): 2035-2048 (2021) - [c186]Aman Arora, Bagus Hanindhito, Lizy K. John:
Compute RAMs: Adaptable Compute and Storage Blocks for DL-Optimized FPGAs. ACSCC 2021: 1156-1163 - [c185]Aman Arora, Samidh Mehta, Vaughn Betz, Lizy K. John:
Tensor Slices to the Rescue: Supercharging ML Acceleration on FPGAs. FPGA 2021: 23-33 - [c184]Aman Arora, Andrew Boutros, Daniel Rauch, Aishwarya Rajen, Aatman Borda, Seyed Alireza Damghani, Samidh Mehta, Sangram Kate, Pragnesh Patel, Kenneth B. Kent, Vaughn Betz, Lizy K. John:
Koios: A Deep Learning Benchmark Suite for FPGA Architecture and CAD Research. FPL 2021: 355-362 - [c183]Bagus Hanindhito, Ruihao Li, Dimitrios Gourounas, Arash Fathi, Karan Govil, Dimitar Trenev, Andreas Gerstlauer, Lizy Kurian John:
Wave-PIM: Accelerating Wave Simulation Using Processing-in-Memory. ICPP 2021: 8:1-8:11 - [c182]Qinzhe Wu, Jonathan Beard, Ashen Ekanayake, Andreas Gerstlauer, Lizy K. John:
Virtual-Link: A Scalable Multi-Producer Multi-Consumer Message Queue Architecture for Cross-Core Communication. IPDPS 2021: 182-191 - [c181]Ruihao Li, Ke Liu, Xiaojun Cai, Mengying Zhao, Lizy K. John, Zhiping Jia:
Improving CNN performance on FPGA clusters through topology exploration. SAC 2021: 126-134 - [i8]Aman Arora, Andrew Boutros, Daniel Rauch, Aishwarya Rajen, Aatman Borda, Seyed Alireza Damghani, Samidh Mehta, Sangram Kate, Pragnesh Patel, Kenneth B. Kent, Vaughn Betz, Lizy K. John:
Koios: A Deep Learning Benchmark Suite for FPGA Architecture and CAD Research. CoRR abs/2106.07087 (2021) - [i7]Aman Arora, Bagus Hanindhito, Lizy K. John:
Compute RAMs: Adaptable Compute and Storage Blocks for DL-Optimized FPGAs. CoRR abs/2107.09178 (2021) - [i6]Zachary Susskind, Bryce Arden, Lizy K. John, Patrick M. Stockton, Eugene B. John:
Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization. CoRR abs/2109.06133 (2021) - 2020
- [j65]Junyong Deng, Qinzhe Wu, Xiaoyan Wu, Shuang Song, Joseph Dean, Lizy Kurian John:
Demystifying graph processing frameworks and benchmarks. Sci. China Inf. Sci. 63(12) (2020) - [j64]Lizy Kurian John:
Connectivity! Connectivity! Connectivity! May You Be More Connected Than Ever!! IEEE Micro 40(1): 4-5 (2020) - [j63]Lizy Kurian John:
Did ML Chips Heat Up the Chip Design Arena? IEEE Micro 40(2): 4-5 (2020) - [j62]Lizy Kurian John:
Enjoy These Top Picks, While You Work From Home! IEEE Micro 40(3): 4-5 (2020) - [j61]Lizy Kurian John:
Agile Hardware Design. IEEE Micro 40(4): 4-5 (2020) - [j60]Lizy Kurian John:
Machine Learning for Systems, Biological Computing, and More. IEEE Micro 40(5): 4-5 (2020) - [j59]Lizy Kurian John:
Chip Design 2020. IEEE Micro 40(6): 4-5 (2020) - [c180]Harsh Gugale, Nagendra Gulur, Yashwant Marathe, Lizy K. John:
ATTC (@C): Addressable-TLB based Translation Coherence. PACT 2020: 481-492 - [c179]Zhigang Wei, Aman Arora, Pragenesh Patel, Lizy Kurian John:
Design Space Exploration for Softmax Implementations. ASAP 2020: 45-52 - [c178]Aman Arora, Zhigang Wei, Lizy K. John:
Hamamu: Specializing FPGAs for ML Applications by Adding Hard Matrix Multiplier Blocks. ASAP 2020: 53-60 - [c177]Aman Arora, Zhigang Wei, Lizy K. John:
The Case for Hard Matrix Multiplier Blocks in an FPGA. FPGA 2020: 323 - [c176]Ruihao Li, Shuang Song, Qinzhe Wu, Lizy K. John:
Accelerating Force-directed Graph Layout with Processing-in-Memory Architecture. HiPC 2020: 271-282 - [c175]Snehil Verma, Qinzhe Wu, Bagus Hanindhito, Gunjan Jha, Eugene B. John, Ramesh Radhakrishnan, Lizy K. John:
Demystifying the MLPerf Training Benchmark Suite. ISPASS 2020: 24-33 - [c174]Steven Flolid, Emily Shriver, Zachary Susskind, Benjamin Thorell, Lizy K. John:
SimTrace: Capturing over Time Program Phase Behavior. ISPASS 2020: 226-228 - [e3]José Nelson Amaral, Lizy Kurian John, Xipeng Shen:
ICPP 2020: 49th International Conference on Parallel Processing, Edmonton, AB, Canada, August 17-20, 2020. ACM 2020, ISBN 978-1-4503-8816-0 [contents] - [i5]Qinzhe Wu, Jonathan Beard, Ashen Ekanayake, Andreas Gerstlauer, Lizy K. John:
Virtual-Link: A Scalable Multi-Producer, Multi-Consumer Message Queue Architecture for Cross-Core Communication. CoRR abs/2012.05181 (2020)
2010 – 2019
- 2019
- [j58]Muhammad Faisal Iqbal, Muhammad Zahid, Durdana Habib, Lizy Kurian John:
Efficient Prediction of Network Traffic for Real-Time Applications. J. Comput. Networks Commun. 2019: 4067135:1-4067135:11 (2019) - [j57]Lizy Kurian John:
To the Era of Intelligent Chips and Systems. IEEE Micro 39(1): 4-5 (2019) - [j56]Lizy Kurian John:
Emerging Hot Chips and Systems. IEEE Micro 39(2): 4-5 (2019) - [j55]Lizy Kurian John:
Top Picks. IEEE Micro 39(3): 4-5 (2019) - [j54]Lizy Kurian John:
Secure Architectures. IEEE Micro 39(4): 4-5 (2019) - [j53]Lizy Kurian John:
Machine Learning Accelerators and More. IEEE Micro 39(5): 4-5 (2019) - [j52]Lizy Kurian John:
3-D Chips! Chips are Getting Denser and Taller Than Ever!! IEEE Micro 39(6): 4-5 (2019) - [j51]Jiajun Wang, Reena Panda, Lizy K. John:
SelSMaP: A Selective Stride Masking Prefetching Scheme. ACM Trans. Archit. Code Optim. 15(4): 42:1-42:21 (2019) - [c173]Jiajun Wang, Prakash Ramrakhyani, Wendy Elsasser, Lizy Kurian John:
Reducing Data Movement and Energy in Multilevel Cache Hierarchies without Losing Performance: Can you have it all? PACT 2019: 383-394 - [c172]Hao Xu, Qingsen Wang, Shuang Song, Lizy Kurian John, Xu Liu:
Can we trust profiling results?: understanding and fixing the inaccuracy in modern profilers. ICS 2019: 284-295 - [c171]Joseph Whitehouse, Qinzhe Wu, Shuang Song, Eugene John, Andreas Gerstlauer, Lizy K. John:
A Study of Core Utilization and Residency in Heterogeneous Smart Phone Architectures. ICPE 2019: 67-78 - [d2]Qinzhe Wu, Steven Flolid, Shuang Song, Junyong Deng, Lizy K. John:
UT-LCA/Scalability-Phase-Simpoint-of-SPEC-CPU2017: SPEC CPU2017 Integer Speed Suite SimPoint Pinballs. Version v1.3. Zenodo, 2019 [all versions]
- [d1]Qinzhe Wu, Steven Flolid, Shuang Song, Junyong Deng, Lizy K. John:
UT-LCA/Scalability-Phase-Simpoint-of-SPEC-CPU2017: SPEC CPU2017 Integer Speed Suite SimPoint Pinballs. Version v1.3. Zenodo, 2019 [all versions] - [i4]Snehil Verma, Qinzhe Wu, Bagus Hanindhito, Gunjan Jha, Eugene B. John, Ramesh Radhakrishnan, Lizy K. John:
Demystifying the MLPerf Benchmark Suite. CoRR abs/1908.09207 (2019) - 2018
- [j50]Lizy K. John, Earl E. Swartzlander Jr.:
Memristor-Based Computing. IEEE Micro 38(5): 5-6 (2018) - [j49]Shuang Song, Xu Liu, Qinzhe Wu, Andreas Gerstlauer, Tao Li, Lizy K. John:
Start Late or Finish Early: A Distributed Graph Processing System with Redundancy Reduction. Proc. VLDB Endow. 12(2): 154-168 (2018) - [j48]Rui Han, Lizy Kurian John, Jianfeng Zhan:
Benchmarking Big Data Systems: A Review. IEEE Trans. Serv. Comput. 11(3): 580-597 (2018) - [c170]Michael LeBeane, Khaled Hamidouche, Brad Benton, Maurício Breternitz, Steven K. Reinhardt, Lizy K. John:
ComP-net: command processor networking for efficient intra-kernel communications on GPUs. PACT 2018: 29:1-29:13 - [c169]