365 citations · 471 across the 17 of their papers we have counts for
3 papers · 1 filter
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator
Jonathan Lew, Deval Shah, Suchita Pati +8
Most deep neural networks deployed today are trained using GPUs via high-level frameworks such as TensorFlow and PyTorch. This paper describes changes we made to the GPGPU-Sim simu…
Modeling Deep Learning Accelerator Enabled GPUs
Md Aamir Raihan, Negar Goli, Tor Aamodt
The efficacy of deep learning has resulted in its use in a growing number of applications. The Volta graphics processor unit (GPU) architecture from NVIDIA introduced a specialized…
Exploring Modern GPU Memory System Design Challenges through Accurate Modeling
Mahmoud Khairy, Jain Akshay, Tor Aamodt +1
This paper explores the impact of simulator accuracy on architecture design decisions in the general-purpose graphics processing unit (GPGPU) space. We perform a detailed, quantita…