Young H. Oh
Cytowane przez
Cytowane przez
A^3: Accelerating Attention Mechanisms in Neural Networks with Approximation
TJ Ham, SJ Jung, S Kim, YH Oh, Y Park, Y Song, JH Park, S Lee, K Park, ...
2020 IEEE International Symposium on High Performance Computer Architecture …, 2020
eDRAM-based Tiered-reliability Memory with Applications to Low-power Frame Buffers
K Cho, Y Lee, YH Oh, G Hwang, JW Lee
2014 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2014
A Portable, Automatic Data Quantizer for Deep Neural Networks
YH Oh, Q Quan, D Kim, S Kim, J Heo, S Jung, J Jang, JW Lee
Proceedings of the 27th International Conference on Parallel Architectures …, 2018
Typed Architectures: Architectural Support for Lightweight Scripting
C Kim, J Kim, S Kim, D Kim, N Kim, G Na, YH Oh, HG Cho, JW Lee
ACM Proceedings of the Twenty-Second International Conference on …, 2017
Layerweaver: Maximizing Resource Utilization of Neural Processing Units via Layer-wise Scheduling
YH Oh, S Kim, Y Jin, S Son, J Bae, J Lee, Y Park, DU Kim, TJ Ham, ...
2021 IEEE International Symposium on High-Performance Computer Architecture …, 2021
An eDRAM-Based Approximate Register File for GPUs
D Jeong, YH Oh, Y Park, JW Lee
IEEE Design & Test: Special Issues on Approximate Computing 33 (1), 23-31, 2016
Genesis: a Hardware Acceleration Framework for Genomic Data Analysis
TJ Ham, D Bruns-Smith, B Sweeney, Y Lee, SH Seo, UG Song, YH Oh, ...
2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020
Short-Circuit Dispatch: Accelerating Virtual Machine Interpreters on Embedded Processors
C Kim, S Kim, HG Cho, D Kim, J Kim, YH Oh, H Jang, JW Lee
International Symposium on Computer Architecture (ISCA), 291-303, 2016
JAWS: a JavaScript Framework for Adaptive CPU-GPU Work Sharing
X Piao, C Kim, YH Oh, H Li, J Kim, H Kim, JW Lee
Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of …, 2015
Accelerating Genomic Data Analytics With Composable Hardware Acceleration Framework
TJ Ham, Y Lee, SH Seo, UG Song, JW Lee, D Bruns-Smith, B Sweeney, ...
IEEE Micro 41 (3), 42-49, 2021
Automatic Runtime Selection of Best Hardware for Data-Parallel JavaScript Kernels via Lifelong Profiling
YH Oh, C Kim, X Piao, JW Lee
The Second International Workshop on Parallelism in Mobile Platforms (PRISM-2), 2014
Efficient CPU-GPU Work Sharing for Data-parallel JavaScript Workloads
X Piao, C Kim, YH Oh, H Kim, JW Lee
Proceedings of the companion publication of the 23rd international …, 2014
An 8-bit Ring-Amplifier Based Mixed-Signal MAC Circuit With Full Digital Interface and Variable Accumulation Length
J Kim, B Seo, YH Oh, JH Chun, JW Lee, J Kim
IEEE Access 9, 5887-5894, 2020
QoS-aware Dynamic Power Optimization for Data-Parallel JavaScript Programs
YH Oh, W Lee, X Piao, C Kim, JW Lee
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