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Joo Hwan Lee
Joo Hwan Lee
Microsoft
Bestätigte E-Mail-Adresse bei microsoft.com
Titel
Zitiert von
Zitiert von
Jahr
Achieving a single compute device image in OpenCL for multiple GPUs
J Kim, H Kim, JH Lee, J Lee
ACM Sigplan Notices 46 (8), 277-288, 2011
1902011
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
832015
SmartSSD: FPGA accelerated near-storage data analytics on SSD
JH Lee, H Zhang, V Lagrange, P Krishnamoorthy, X Zhao, YS Ki
IEEE Computer architecture letters 19 (2), 110-113, 2020
752020
GPUMech: GPU performance modeling technique based on interval analysis
JC Huang, JH Lee, H Kim, HHS Lee
2014 47th Annual IEEE/ACM International Symposium on Microarchitecture, 268-279, 2014
632014
NASCENT: Near-storage acceleration of database sort on SmartSSD
S Salamat, A Haj Aboutalebi, B Khaleghi, JH Lee, YS Ki, T Rosing
The 2021 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays …, 2021
492021
OpenCL performance evaluation on modern multicore CPUs
JH Lee, N Nigania, H Kim, K Patel, H Kim
Scientific Programming 2015 (1), 859491, 2015
392015
Java In Client Ahead-Of-Time Compiler for Embedded System
S Hong, JC Kim, JW Shin, JW Kwon, JH Lee, SM Moon.
한국정보과학회 학술발표논문집 36 (2A), 226-227, 2009
322009
On the limits of parallelizing convolutional neural networks on gpus
B Pourghassemi, C Zhang, JH Lee, A Chandramowlishwaran
Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and …, 2020
13*2020
Web browsing apparatus and method through storing and optimizing JAVASCRIPT® code
JH Lee, H Kim, G Jo, J Nah, H Kim, YJ Lee, J Lee, SM Cho
US Patent 8,887,127, 2014
102014
FPGA acceleration system for MSR codes
M Qin, JH Lee, R Pitchumani, YS Ki
US Patent 11,061,772, 2021
92021
Data path for GPU machine learning training with key value SSD
JH Lee, YS Ki
US Patent 11,182,694, 2021
52021
Near-storage acceleration of dictionary decoding
S Salamat, JH Lee, AHAJ ABOUTALEBI, P Krishnamoorthy, X Zhao, ...
US Patent 11,791,838, 2023
42023
Slab based memory management for machine learning training
JH Lee, YS Ki
US Patent 11,461,869, 2022
42022
Optimal dynamic shard creation in storage for graph workloads
SH Hashemi, JH Lee, YS KI
US Patent App. 16/274,232, 2020
42020
StaleLearn: Learning acceleration with asynchronous synchronization between model replicas on PIM
JH Lee, H Kim
IEEE Transactions on Computers 67 (6), 861-873, 2017
42017
SESH framework: A space exploration framework for GPU application and hardware codesign
JH Lee, J Meng, H Kim
High Performance Computing Systems. Performance Modeling, Benchmarking and …, 2014
42014
Empirical Investigation of Stale Value Tolerance on Parallel RNN Training
JH Lee, H Kim
2019 IEEE International Symposium on Performance Analysis of Systems and …, 2019
32019
Systems, methods, and devices for storage shuffle acceleration
H Zhang, JH Lee, Y Zhang, AHAJ ABOUTALEBI, X Zhao, ...
US Patent 11,567,971, 2023
22023
Measuring JavaScript Performance with a Real World Web Application
H Kim, JH Lee, G Jo, J Lee
한국정보과학회 학술발표논문집 38 (2A), 131-134, 2011
22011
Platform for concurrent execution of GPU operations
BP Najafabadi, JH Lee, YS Ki
US Patent 11,620,510, 2023
12023
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