Graphics Processing Unit (GPU) devices and their associated software programming
languages and frameworks can deliver the computing performance required to facilitate the …

Smaller transistor sizes and reduction in voltage levels in modern microprocessors induce
higher soft error rates. This trend makes reliability a primary design constraint for computer …

As technology scales, GPUs are forecasted to incorporate an ever-increasing amount of
computing resources to support thread-level parallelism. But even with the best effort …

This paper presents Warped-Compression, a warp-level register compression scheme for
reducing GPU power consumption. This work is motivated by the observation that the …

GPUs have emerged as general-purpose accelerators in high-performance computing
(HPC) and scientific applications. However, the reliability characteristics of GPU applications …

Application execution on safety-critical and high-performance computer systems must be
resilient to transient errors. As GPUs become more pervasive in such systems, they must …

Racetrack memory is an emerging non-volatile memory based on spintronic domain wall
technology. It can achieve ultra-high storage density. Also, its read/write speed is …

Reliability for general purpose processing on the GPU (GPGPU) is becoming a weak link in
the construction of reliable supercomputer systems. Because hardware protection is …

With the prevalence of GPUs as throughput engines for data parallel workloads, the
landscape of GPU computing is changing significantly. Non-graphics workloads with high …

With the widespread adoption of GPGPUs in varied application domains, new opportunities
open up to improve GPGPU energy efficiency. Due to inherent application-level …