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The GPU has provide higher throughput by integrating more execution resources into a single chip without unduly compromising power efficiency. With the power wall challenge, however, increasing the throughput will require significant improvement in power efficiency. To accomplish this goal, we propose G-Scalar, a cost-effective generalized scalar execution architecture for GPUs in this paper. G-Scalar...
Long latency of memory operation is a prominent performance bottleneck in graphics processing units (GPUs). The small data cache that must be shared across dozens of warps (a collection of threads) creates significant cache contention and premature data eviction. Prior works have recognized this problem and proposed warp throttling which reduces the number of active warps contending for cache space...
Measuring energy proportionality accurately and understanding the reasons for disproportionality are critical first steps in designing future energy-efficient servers. This article presents two metrics—linear deviation and proportionality gap—that let system designers analyze and understand server energy consumption at various utilization levels. An analysis of published SPECpower...
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