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Jaewoong Sim
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Can FPGAs beat GPUs in accelerating next-generation deep neural networks?
E Nurvitadhi, G Venkatesh, J Sim, D Marr, R Huang, J Ong Gee Hock, ...
Proceedings of the 2017 ACM/SIGDA international symposium on field …, 2017
5752017
Accelerating binarized neural networks: Comparison of FPGA, CPU, GPU, and ASIC
E Nurvitadhi, D Sheffield, J Sim, A Mishra, G Venkatesh, D Marr
2016 International Conference on Field-Programmable Technology (FPT), 77-84, 2016
3932016
Graphpim: Enabling instruction-level pim offloading in graph computing frameworks
L Nai, R Hadidi, J Sim, H Kim, P Kumar, H Kim
2017 IEEE International symposium on high performance computer architecture …, 2017
3322017
A performance analysis framework for identifying potential benefits in GPGPU applications
J Sim, A Dasgupta, H Kim, R Vuduc
Proceedings of the 17th ACM SIGPLAN Annual Symposium on Principles and …, 2012
2682012
Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC
E Nurvitadhi, J Sim, D Sheffield, A Mishra, S Krishnan, D Marr
2016 26th International Conference on Field Programmable Logic and …, 2016
2362016
Transparent hardware management of stacked dram as part of memory
J Sim, AR Alameldeen, Z Chishti, C Wilkerson, H Kim
2014 47th Annual IEEE/ACM International Symposium on Microarchitecture, 13-24, 2014
1512014
A mostly-clean DRAM cache for effective hit speculation and self-balancing dispatch
J Sim, GH Loh, H Kim, M OConnor, M Thottethodi
2012 45th Annual IEEE/ACM International Symposium on Microarchitecture, 247-257, 2012
1262012
Dynamically configuring regions of a main memory in a write-back mode or a write-through mode
J Sim, MS Thottethodi, GH Loh
US Patent 9,552,294, 2017
1092017
A customizable matrix multiplication framework for the intel harpv2 xeon+ fpga platform: A deep learning case study
DJM Moss, S Krishnan, E Nurvitadhi, P Ratuszniak, C Johnson, J Sim, ...
Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018
1002018
High performance binary neural networks on the Xeon+ FPGA™ platform
DJM Moss, E Nurvitadhi, J Sim, A Mishra, D Marr, S Subhaschandra, ...
2017 27Th International conference on field programmable logic and …, 2017
942017
Macsim: A cpu-gpu heterogeneous simulation framework user guide
H Kim, J Lee, NB Lakshminarayana, J Sim, J Lim, T Pho
Georgia Institute of Technology, 1-57, 2012
872012
BSSync: Processing near memory for machine learning workloads with bounded staleness consistency models
JH Lee, J Sim, H Kim
2015 International Conference on Parallel Architecture and Compilation (PACT …, 2015
812015
Why compete when you can work together: FPGA-ASIC integration for persistent RNNs
E Nurvitadhi, D Kwon, A Jafari, A Boutros, J Sim, P Tomson, H Sumbul, ...
2019 IEEE 27th Annual International Symposium on Field-Programmable Custom …, 2019
672019
Batch-aware unified memory management in GPUs for irregular workloads
H Kim, J Sim, P Gera, R Hadidi, H Kim
Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020
662020
Resilient die-stacked DRAM caches
J Sim, GH Loh, V Sridharan, M O'Connor
ACM SIGARCH Computer Architecture News 41 (3), 416-427, 2013
662013
FLEXclusion: Balancing cache capacity and on-chip bandwidth via flexible exclusion
J Sim, J Lee, MK Qureshi, H Kim
ACM SIGARCH Computer Architecture News 40 (3), 321-332, 2012
562012
Partitioning caches for sub-entities in computing devices
GH Loh, J Sim
US Patent 9,098,417, 2015
362015
Method and apparatus for implementing a heterogeneous memory subsystem
CB Wilkerson, AR Alameldeen, ZA Chishti, J Sim
US Patent 9,472,248, 2016
272016
CoolPIM: Thermal-aware source throttling for efficient PIM instruction offloading
L Nai, R Hadidi, H Xiao, H Kim, J Sim, H Kim
2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2018
232018
Specializing FGPU for persistent deep learning
R Ma, JC Hsu, T Tan, E Nurvitadhi, D Sheffield, R Pelt, M Langhammer, ...
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 14 (2), 1-23, 2021
202021
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