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Extreme multi-threading and fast thread switching in modern GPGPU require a large, power-hungry register file (RF), which quickly becomes one of major obstacles on the upscaling path of energy-efficient GPGPU computing. In this work, we propose to implement a power-efficient GPGPU RF built on the newly emerged racetrack memory. Racetrack memory has small cell area, low dynamic power, and nonvolatility...
Developing heterogeneous system with hardware accelerator is a promising solution to implement high performance applications where explicitly programmed, rule-based algorithms are either infeasible or inefficient. However, mapping a neural network model to a hardware representation is a complex process, where balancing computation resources and memory accesses is crucial. In this work, we present...
As massive multi-threading in GPU imposes tremendous pressure on memory subsystems, efficient bandwidth utilization becomes a key factor affecting the GPU throughput. In this work, we propose thread batch enabled memory partitioning (TEMP), to improve GPU performance through the improvement of memory bandwidth utilization. In particular, TEMP clusters multiple thread blocks sharing the same set of...
Typhoon/Cyclone is an important part of the risk assessment of natural catastrophes. To estimate probabilistic cyclone damage for a very long time (e.g. 1,000 years, 10,000 years), the first step of catastrophe risk assessment model is to generate a stochastic set of routes derived by historical cyclone routes, which takes a long time. In order to accelerate the generation, we try to use GPU programming,...
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