Nadathur Satish
Nadathur Satish
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Cited by
Scalable bayesian optimization using deep neural networks
J Snoek, O Rippel, K Swersky, R Kiros, N Satish, N Sundaram, M Patwary, ...
International conference on machine learning, 2171-2180, 2015
Debunking the 100X GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU
VW Lee, C Kim, J Chhugani, M Deisher, D Kim, AD Nguyen, N Satish, ...
Proceedings of the 37th annual international symposium on Computer …, 2010
Designing efficient sorting algorithms for manycore GPUs
N Satish, M Harris, M Garland
2009 IEEE International Symposium on Parallel & Distributed Processing, 1-10, 2009
FAST: fast architecture sensitive tree search on modern CPUs and GPUs
C Kim, J Chhugani, N Satish, E Sedlar, AD Nguyen, T Kaldewey, VW Lee, ...
Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010
Sort vs. hash revisited: Fast join implementation on modern multi-core CPUs
C Kim, T Kaldewey, VW Lee, E Sedlar, AD Nguyen, N Satish, J Chhugani, ...
Proceedings of the VLDB Endowment 2 (2), 1378-1389, 2009
Clearpath: highly parallel collision avoidance for multi-agent simulation
SJ Guy, J Chhugani, C Kim, N Satish, M Lin, D Manocha, P Dubey
Proceedings of the 2009 ACM SIGGRAPH/Eurographics Symposium on Computer …, 2009
Graphicionado: A high-performance and energy-efficient accelerator for graph analytics
TJ Ham, L Wu, N Sundaram, N Satish, M Martonosi
2016 49th annual IEEE/ACM international symposium on microarchitecture …, 2016
3.5-D blocking optimization for stencil computations on modern CPUs and GPUs
A Nguyen, N Satish, J Chhugani, C Kim, P Dubey
SC'10: Proceedings of the 2010 ACM/IEEE International Conference for High …, 2010
Graphmat: High performance graph analytics made productive
N Sundaram, NR Satish, MMA Patwary, SR Dulloor, SG Vadlamudi, ...
arXiv preprint arXiv:1503.07241, 2015
Glow: Graph lowering compiler techniques for neural networks
N Rotem, J Fix, S Abdulrasool, G Catron, S Deng, R Dzhabarov, N Gibson, ...
arXiv preprint arXiv:1805.00907, 2018
Fast sort on CPUs and GPUs: a case for bandwidth oblivious SIMD sort
N Satish, C Kim, J Chhugani, AD Nguyen, VW Lee, D Kim, P Dubey
Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010
Dyser: Unifying functionality and parallelism specialization for energy-efficient computing
V Govindaraju, CH Ho, T Nowatzki, J Chhugani, N Satish, ...
IEEE Micro 32 (5), 38-51, 2012
Data tiering in heterogeneous memory systems
SR Dulloor, A Roy, Z Zhao, N Sundaram, N Satish, R Sankaran, ...
Proceedings of the Eleventh European Conference on Computer Systems, 1-16, 2016
Navigating the maze of graph analytics frameworks using massive graph datasets
N Satish, N Sundaram, MMA Patwary, J Seo, J Park, MA Hassaan, ...
Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014
Deep learning inference in facebook data centers: Characterization, performance optimizations and hardware implications
J Park, M Naumov, P Basu, S Deng, A Kalaiah, D Khudia, J Law, P Malani, ...
arXiv preprint arXiv:1811.09886, 2018
Fast updates on read-optimized databases using multi-core CPUs
J Krueger, C Kim, M Grund, N Satish, D Schwalb, J Chhugani, H Plattner, ...
arXiv preprint arXiv:1109.6885, 2011
IMP: Indirect memory prefetcher
X Yu, CJ Hughes, N Satish, S Devadas
Proceedings of the 48th International Symposium on Microarchitecture, 178-190, 2015
Streaming similarity search over one billion tweets using parallel locality-sensitive hashing
N Sundaram, A Turmukhametova, N Satish, T Mostak, P Indyk, S Madden, ...
Proceedings of the VLDB Endowment 6 (14), 1930-1941, 2013
Can traditional programming bridge the ninja performance gap for parallel computing applications?
N Satish, C Kim, J Chhugani, H Saito, R Krishnaiyer, M Smelyanskiy, ...
ACM SIGARCH Computer Architecture News 40 (3), 440-451, 2012
PALM: Parallel architecture-friendly latch-free modifications to B+ trees on many-core processors
J Sewall, J Chhugani, C Kim, N Satish, P Dubey
Proceedings of the VLDB Endowment 4 (11), 795-806, 2011
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