2 citations · 5 across the 4 of their papers we have counts for
4 papers
RLWS: A Reinforcement Learning based GPU Warp Scheduler
Jayvant Anantpur, Nagendra Gulur Dwarakanath, Shivaram Kalyanakrishnan +2
The Streaming Multiprocessors (SMs) of a Graphics Processing Unit (GPU) execute instructions from a group of consecutive threads, called warps. At each cycle, an SM schedules a war…
GREENER: A Tool for Improving Energy Efficiency of Register Files
Vishwesh Jatala, Jayvant Anantpur, Amey Karkare
Graphics Processing Units (GPUs) maintain a large register file to increase the thread level parallelism (TLP). To increase the TLP further, recent GPUs have increased the number o…
Scratchpad Sharing in GPUs
Vishwesh Jatala, Jayvant Anantpur, Amey Karkare
GPGPU applications exploit on-chip scratchpad memory available in the Graphics Processing Units (GPUs) to improve performance. The amount of thread level parallelism present in the…
Improving GPU Performance Through Resource Sharing
Vishwesh Jatala, Jayvant Anantpur, Amey Karkare
Graphics Processing Units (GPUs) consisting of Streaming Multiprocessors (SMs) achieve high throughput by running a large number of threads and context switching among them to hide…