0 citations
GPGPUs: How to combine high computational power with high reliability
Design, Automation & Test in Europe Conference & Exhibition (DATE), 20142014pp. 1–9
Citations Over TimeTop 17% of 2014 papers
Leonardo Bautista-Gomez, F. Cappello, Luigi Carro, N. DeBardeleben, B. Fang, S. Gurumurthi, Karthik Pattabiraman, Paolo Rech, M. Sonza Reorda
Abstract
GPGPUs are used increasingly in several domains, from gaming to different kinds of computationally intensive applications. In many applications GPGPU reliability is becoming a serious issue, and several research activities are focusing on its evaluation. This paper offers an overview of some major results in the area. First, it shows and analyzes the results of some experiments assessing GPGPU reliability in HPC datacenters. Second, it provides some recent results derived from radiation experiments about the reliability of GPGPUs. Third, it describes the characteristics of an advanced fault-injection environment, allowing effective evaluation of the resiliency of applications running on GPGPUs.
Related Papers
- → Parallel connected-component labeling algorithm for GPGPU applications(2010)14 cited
- Parallel Programming For High-Performance Computing on CUDA(2009)
- CUDA-NP: Realizing Nested Thread-Level Parallelism in GPGPU Applications(2015)
- Introductory on GPGPU Programming Technique(2010)
- → Новітні архітектури відеоадаптерів. Технологія GPGPU. Частина 2(2013)