Daisen: A Framework for Visualizing Detailed GPU Execution-Reference-Cited by-同舟云学术

Daisen: A Framework for Visualizing Detailed GPU Execution

Published:2021-06 Issue:3 Volume:40 Page:239-250
ISSN:0167-7055
Container-title:Computer Graphics Forum
language:en
Short-container-title:Computer Graphics Forum

Author:

Sun Yifan¹^ORCID,Zhang Yixuan²^ORCID,Mosallaei Ali³^ORCID,Shah Michael D.⁴^ORCID,Dunne Cody⁴^ORCID,Kaeli David⁴^ORCID

Affiliation:

1. William & Mary

2. Georgia Institute of Technology

3. Lexington High School

4. Northeastern University

Funder

Advanced Micro Devices

Publisher

Wiley

Subject

Computer Graphics and Computer-Aided Design

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.14303

Reference69 articles.

1. AmarR. EaganJ. StaskoJ.: Low‐level components of analytic activity in information visualization. InIEEE Symposium on Information Visualization 2005. INFOVIS 2005. (2005) pp.111–117. doi:10.1109/INFOVIS.2005.24. 5

2. ArielA. FungW. W. TurnerA. E. AamodtT. M.: Visualizing complex dynamics in many‐core accelerator architectures. In2010 IEEE International Symposium on Performance Analysis of Systems & Software (ISPASS)(2010) pp.164–174. doi:10.1109/ISPASS.2010.5452029. 2 4

3. AMD:AMD Radeon R9 Nano world's smallest and most power‐efficient enthusiast graphics card brings 4K gaming to the living room 2015. URL:https://www.amd.com/en/press-releases/amd-radeon-r9-nano-2015aug27. 2 8

4. Redefining the Role of the CPU in the Era of CPU-GPU Integration

5. A Survey on PageRank Computing

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption;56th Annual IEEE/ACM International Symposium on Microarchitecture;2023-10-28

2. Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study;IEEE Transactions on Visualization and Computer Graphics;2023

3. NaviSim;Proceedings of the International Conference on Parallel Architectures and Compilation Techniques;2022-10-08

4. The Parallelization and Optimization of K-means Algorithm Based on MGPUSim;Lecture Notes in Computer Science;2022