89 citations · 182 across the 26 of their papers we have counts for
4 papers · 1 filter
AMOEBA: A Coarse Grained Reconfigurable Architecture for Dynamic GPU Scaling
Xianwei Cheng, Hui Zhao, Mahmut Kandemir +2
Different GPU applications exhibit varying scalability patterns with network-on-chip (NoC), coalescing, memory and control divergence, and L1 cache behavior. A GPU consists of seve…
Alleviating Bottlenecks for DNN Execution on GPUs via Opportunistic Computing
Xianwei Cheng, Hui Zhao, Mahmut Kandemir +2
Edge computing and IoT applications are severely constrained by limited hardware resource. This makes memory consuming DNN frameworks not applicable to edge computing. Simple algor…
On a caching system with object sharing
George Kesidis, Nader Alfares, Xi Li +3
We consider a content-caching system thatis shared by a number of proxies. The cache could belocated in an edge-cloud datacenter and the proxies couldeach serve a large population…
FUSE: Fusing STT-MRAM into GPUs to Alleviate Off-Chip Memory Access Overheads
Jie Zhang, Myoungsoo Jung, Mahmut Taylan Kandemir
In this work, we propose FUSE, a novel GPU cache system that integrates spin-transfer torque magnetic random-access memory (STT-MRAM) into the on-chip L1D cache. FUSE can minimize…