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Gennady Pekhimenko
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Mlperf inference benchmark
VJ Reddi, C Cheng, D Kanter, P Mattson, G Schmuelling, CJ Wu, ...
2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture ¡K, 2020
5502020
RowClone: fast and energy-efficient in-DRAM bulk data copy and initialization
V Seshadri, Y Kim, C Fallin, D Lee, R Ausavarungnirun, G Pekhimenko, ...
Proceedings of the 46th Annual IEEE/ACM International Symposium on ¡K, 2013
5352013
Base-delta-immediate compression: practical data compression for on-chip caches
G Pekhimenko, V Seshadri, O Mutlu, PB Gibbons, MA Kozuch, TC Mowry
Proceedings of the 21st international conference on Parallel architectures ¡K, 2012
5012012
MLPerf Training Benchmark
P Mattson, C Cheng, C Coleman, G Diamos, P Micikevicius, D Patterson, ...
Proceedings of Machine Learning and Systems 2020, 336-349, 2020
3392020
Adaptive-Latency DRAM: Optimizing DRAM Timing for the Common-Case
D Lee, Y Kim, G Pekhimenko, S Khan, V Seshadri, K Chang, O Mutlu
High Performance Computer Architecture (HPCA), 2015 IEEE 21st International ¡K, 2015
2712015
Understanding latency variation in modern DRAM chips: Experimental characterization, analysis, and optimization
KK Chang, A Kashyap, H Hassan, S Ghose, K Hsieh, D Lee, T Li, ...
Proceedings of the 2016 ACM SIGMETRICS International Conference on ¡K, 2016
2402016
Benchmarking and analyzing deep neural network training
H Zhu, M Akrout, B Zheng, A Pelegris, A Jayarajan, A Phanishayee, ...
2018 IEEE International Symposium on Workload Characterization (IISWC), 88-100, 2018
2352018
Gist: Efficient data encoding for deep neural network training
A Jain, A Phanishayee, J Mars, L Tang, G Pekhimenko
2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture ¡K, 2018
2032018
Linearly compressed pages: a low-complexity, low-latency main memory compression framework
G Pekhimenko, V Seshadri, Y Kim, H Xin, O Mutlu, PB Gibbons, ...
Proceedings of the 46th Annual IEEE/ACM International Symposium on ¡K, 2013
2002013
Priority-based parameter propagation for distributed DNN training
A Jayarajan, J Wei, G Gibson, A Fedorova, G Pekhimenko
Proceedings of Machine Learning and Systems 2019, 2019
1912019
ChargeCache: Reducing DRAM latency by exploiting row access locality
H Hassan, G Pekhimenko, N Vijaykumar, V Seshadri, D Lee, O Ergin, ...
2016 IEEE International Symposium on High Performance Computer Architecture ¡K, 2016
1852016
Simultaneous multi-layer access: Improving 3D-stacked memory bandwidth at low cost
D Lee, S Ghose, G Pekhimenko, S Khan, O Mutlu
ACM Transactions on Architecture and Code Optimization (TACO) 12 (4), 1-29, 2016
1822016
Design-induced latency variation in modern DRAM chips: Characterization, analysis, and latency reduction mechanisms
D Lee, S Khan, L Subramanian, S Ghose, R Ausavarungnirun, ...
Proceedings of the ACM on Measurement and Analysis of Computing Systems 1 (1 ¡K, 2017
1552017
SoftMC: A flexible and practical open-source infrastructure for enabling experimental DRAM studies
H Hassan, N Vijaykumar, S Khan, S Ghose, K Chang, G Pekhimenko, ...
2017 IEEE International Symposium on High Performance Computer Architecture ¡K, 2017
1502017
A case for core-assisted bottleneck acceleration in GPUs: enabling flexible data compression with assist warps
N Vijaykumar, G Pekhimenko, A Jog, A Bhowmick, R Ausavarungnirun, ...
ACM SIGARCH Computer Architecture News 43 (3S), 41-53, 2015
1442015
RFVP: Rollback-free value prediction with safe-to-approximate loads
A Yazdanbakhsh, G Pekhimenko, B Thwaites, H Esmaeilzadeh, O Mutlu, ...
ACM Transactions on Architecture and Code Optimization (TACO) 12 (4), 1-26, 2016
1002016
Shifted Hamming distance: a fast and accurate SIMD-friendly filter to accelerate alignment verification in read mapping
H Xin, J Greth, J Emmons, G Pekhimenko, C Kingsford, C Alkan, O Mutlu
Bioinformatics 31 (10), 1553-1560, 2015
100*2015
{StreamBox}: Modern Stream Processing on a Multicore Machine
H Miao, H Park, M Jeon, G Pekhimenko, KS McKinley, FX Lin
2017 USENIX Annual Technical Conference (USENIX ATC 17), 617-629, 2017
982017
A case for toggle-aware compression for GPU systems
G Pekhimenko, E Bolotin, N Vijaykumar, O Mutlu, TC Mowry, SW Keckler
2016 IEEE International Symposium on High Performance Computer Architecture ¡K, 2016
942016
Software automatic tuning: from concepts to state-of-the-art results
RS Ken Naono, Keita Teranishi, John Cavazos
Springer Science & Business Media, 2010
922010
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