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Books and Theses
- 2015
[b1]Ashwin M. Aji:
Programming High-Performance Clusters with Heterogeneous Computing Devices. Virginia Tech, Blacksburg, VA, USA, 2015
Journal Articles
- 2016
- [j2]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) - [j1]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)
Conference and Workshop Papers
- 2023
- [c23]Gabriel H. Loh, Michael J. Schulte, Mike Ignatowski, Vignesh Adhinarayanan, Shaizeen Aga, Derrick Aguren, Varun Agrawal, Ashwin M. Aji, Johnathan Alsop, Paul T. Bauman, Bradford M. Beckmann, Majed Valad Beigi, Sergey Blagodurov, Travis Boraten, Michael Boyer, William C. Brantley, Noel Chalmers, Shaoming Chen, Kevin Cheng, Michael L. Chu, David Cownie, Nicholas Curtis, Joris Del Pino, Nam Duong, Alexandru Dutu, Yasuko Eckert, Christopher Erb, Chip Freitag, Joseph L. Greathouse, Sudhanva Gurumurthi, Anthony Gutierrez, Khaled Hamidouche, Sachin Hossamani, Wei Huang, Mahzabeen Islam, Nuwan Jayasena, John Kalamatianos, Onur Kayiran, Jagadish Kotra, Alan Lee, Daniel Lowell, Niti Madan, Abhinandan Majumdar, Nicholas Malaya, Srilatha Manne, Susumu Mashimo, Damon McDougall, Elliot Mednick, Michael Mishkin, Mark Nutter, Indrani Paul, Matthew Poremba, Brandon Potter, Kishore Punniyamurthy, Sooraj Puthoor, Steven E. Raasch, Karthik Rao, Gregory Rodgers, Marko Scrbak, Mohammad Seyedzadeh, John Slice, Vilas Sridharan, René van Oostrum, Eric Van Tassell, Abhinav Vishnu, Samuel Wasmundt, Mark Wilkening, Noah Wolfe, Mark Wyse, Adithya Yalavarti, Dmitri Yudanov:
A Research Retrospective on AMD's Exascale Computing Journey. ISCA 2023: 81:1-81:14 - 2019
- [c22]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 - [c21]Anirudh Mohan Kaushik, Ashwin M. Aji, Muhammad Amber Hassaan, Noel Chalmers, Noah Wolfe, Scott Moe, Sooraj Puthoor, Bradford M. Beckmann:
Optimizing Hyperplane Sweep Operations Using Asynchronous Multi-grain GPU Tasks. IISWC 2019: 59-69 - 2018
- [c20]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 - [c19]Apan Qasem, Ashwin M. Aji, Michael L. Chu:
Investigating Data Layout Transformations in Chapel. IPDPS Workshops 2018: 915-924 - 2017
- [c18]Apan Qasem, Ashwin M. Aji, Gregory Rodgers:
Characterizing data organization effects on heterogeneous memory architectures. CGO 2017: 160-170 - 2016
- [c17]Sooraj Puthoor, Ashwin M. Aji, Shuai Che, Mayank Daga, Wei Wu, Bradford M. Beckmann, Gregory Rodgers:
Implementing directed acyclic graphs with the heterogeneous system architecture. GPGPU@PPoPP 2016: 53-62 - 2015
- [c16]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 - 2013
- [c15]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 - [c14]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 - [c13]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 - [c12]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 - 2012
- [c11]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 - [c10]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 - [c9]Keith R. Bisset, Ashwin M. Aji, Eric J. Bohm, Laxmikant V. Kalé, Tariq Kamal, Madhav V. Marathe, Jae-Seung Yeom:
Simulating the Spread of Infectious Disease over Large Realistic Social Networks Using Charm++. IPDPS Workshops 2012: 507-518 - [c8]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 - 2011
- [c7]Ashwin M. Aji, Mayank Daga, Wu-chun Feng:
Bounding the effect of partition camping in GPU kernels. Conf. Computing Frontiers 2011: 27 - [c6]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 - [c5]Keith R. Bisset, Ashwin M. Aji, Tariq Kamal, Jae-Seung Yeom:
Poster: large-scale computational epidemiology modeling using charm++. SC Companion 2011: 77-78 - 2010
- [c4]Ashwin M. Aji, Liqing Zhang, Wu-chun Feng:
GPU-RMAP: Accelerating Short-Read Mapping on Graphics Processors. CSE 2010: 168-175 - 2009
- [c3]Shucai Xiao, Ashwin M. Aji, Wu-chun Feng:
On the Robust Mapping of Dynamic Programming onto a Graphics Processing Unit. ICPADS 2009: 26-33 - 2008
- [c2]Ashwin M. Aji, Wu-chun Feng:
Optimizing performance, cost, and sensitivity in pairwise sequence search on a cluster of PlayStations. BIBE 2008: 1-6 - [c1]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
Parts in Books or Collections
- 2013
- [p1]Keith R. Bisset, Ashwin M. Aji, Tariq Kamal, Jae-Seung Yeom, Madhav V. Marathe, Eric J. Bohm, Abhishek Gupta:
Contagion Diffusion with EpiSimdemics. Parallel Science and Engineering Applications 2013: 211-246
Informal and Other Publications
- 2024
- [i2]Massimiliano Lupo Pasini, Jong Youl Choi, Kshitij Mehta, Pei Zhang, David Rogers, Jonghyun Bae, Khaled Z. Ibrahim, Ashwin M. Aji, Karl W. Schulz, Jorda Polo, Prasanna Balaprakash:
Scalable Training of Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN. CoRR abs/2406.12909 (2024) - 2023
- [i1]Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens:
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023)
Coauthor Index
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