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Conflict-Aware Compiler for Hierarchical Register File on GPUs
Modern graphics processing units (GPUs) leverage a high degree of thread-level parallelism, necessitating large-sized register files …
Eunbi Jeong
,
Eun Seong Park
,
Gunjae Koo
,
Yunho Oh
,
Myung Kuk Yoon
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DOI
Adaptive Kernel Merge and Fusion for Multi-Tenant Inference in Embedded GPUs
This paper proposes a new scheme that improves throughput and reduces queuing delay while running multiple inferences in embedded …
Jaebeom Jeon
,
Gunjae Koo
,
Myung Kuk Yoon
,
Yunho Oh
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DOI
Warped-MC: An Efficient Memory Controller Scheme for Massively Parallel Processors
The performance of GPU’s external memories is becoming more critical since a modern GPU runs thousands of concurrent threads that …
Jonghyun Jeong
,
Myung Kuk Yoon
,
Yunho Oh
,
Gunjae Koo
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Slide Show
Analyzing GCN Aggregation on GPU
Graph convolutional neural networks (GCNs) are emerging neural networks for graph structures that include large features associated …
Inje Kim
,
Jonghyun Jeong
,
Yunho Oh
,
Myung Kuk Yoon
,
Gunjae Koo
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DOI
GhostLeg: Selective Memory Coalescing for Secure GPU Architecture
Architectural considerations for secure executions are getting more critical for GPU since popular security applications and libraries …
Jongmin Lee
,
Seungho Jung
,
Taeweon Suh
,
Yunho Oh
,
Myung Kuk Yoon
,
Gunjae Koo
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Analyzing Characteristics of Memory Timing Side-Channels in GPU
최근 연구에서 GPU에서 수행하는 AES와 RSA와 같은 암호 알고리즘에서 GPU의 고유한 메모리 접합 구조에 따른 메모리 접근 시간의 차이를 이용하여 공격자가 암호키를 복원할 수 있음이 밝혀졌다. 이는 GPU 캐시 구조 및 메모리 접합 방식 …
Seungho Jung
,
Myung Kuk Yoon
,
Gunjae Koo
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Analyzing Data Cache Performance of Modern GPU Architecture
Graphics processing unit (GPU)는 그래픽 어플리케이션의 처리 뿐만 아니라 최근 machine learning, big data analytics 등의 대규모 병렬처리를 요구하는 어플리케이션의 처리에 널리 사용되고 있다. …
Jonghyun Jeong
,
Yunho Oh
,
Gunjae Koo
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Analyzing the Performance of GCN Inferences with respect to Sparsity of Graph Features
Graph Convolutional Neural Network (GCN)은 그래프 구조를 이용한 인공 신경망 중의 하나로 소셜 네트워크 분석 및 소비자 성향 분석 등 여러 응용 분야에 이용될 수 있다. GCN 커널은 크게 aggregation …
Inje Kim
,
Gunjae Koo
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Revealing Characteristics of GCN Inference Models Using a GPU Profiler
Graph Convolutional Neural Network (GCN)은 그래프 구조를 이용한 인공 신경망 (Graph Neural Network, GNN) 중의 하나로서 소셜 네트워크 분석 및 소비자 성향 분석, 추천 시스템 등의 여러 응 …
Inje Kim
,
Gunjae Koo
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Hi-End: Hierarchical, Endurance-Aware STT-MRAM-Based Register File for Energy-Efficient GPUs
Modern Graphics Processing Units (GPUs) require large hardware resources for massive parallel thread executions. In particular, modern …
Won Jeon
,
Jun Hyun Park
,
Yoonsoo Kim
,
Gunjae Koo
,
Won Woo Ro
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