Works (4)

Updated: July 5th, 2023 15:37

2019 journal article

Coordinated CTA Combination and Bandwidth Partitioning for GPU Concurrent Kernel Execution

ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION, 16(3).

By: Z. Lin n, H. Dai n, M. Mantor* & H. Zhou n

author keywords: GPGPU; TLP; bandwidth management; concurrent kernel execution
TL;DR: A coordinated approach for CTA combination and bandwidth partitioning that dynamically detects co-running kernels as latency sensitive or bandwidth intensive and allocates more CTA resources for latency-sensitive kernels and more NoC/DRAM bandwidth resources to NoC-/DRam-intensive kernels. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: December 2, 2019

2016 article

A Model-Driven Approach to Warp/Thread-Block Level GPU Cache Bypassing

2016 ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC).

By: H. Dai n, C. Li n, H. Zhou n, S. Gupta*, C. Kartsaklis* & M. Mantor*

TL;DR: This paper proposes a simple yet effective performance model to estimate the impact of cache contention and resource congestion as a function of the number of warps/thread blocks to bypass the cache, and designs a hardware-based dynamic warp/thread-block level GPU cache bypassing scheme. (via Semantic Scholar)
Sources: Web Of Science, ORCID
Added: August 6, 2018

2015 conference paper

Analyzing graphics processor unit (GPU) instruction set architectures

Ieee international symposium on performance analysis of systems and, 155–156.

By: K. Mayank n, H. Dai n, J. Wei* & Huiyang

TL;DR: There are few studies and analyses on GPU instruction set architectures (ISAs) although it is wellknown that the ISA is a fundamental design issue of all modern processors including GPUs. (via Semantic Scholar)
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy (OpenAlex)
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2014 conference paper

Understanding the tradeoffs between software-managed vs. hardware-managed caches in GPUs

Ieee international symposium on performance analysis of systems and, 231–241.

By: C. Li, Y. Yang, H. Dai, S. Yan, F. Mueller & H. Zhou

Source: NC State University Libraries
Added: August 6, 2018

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