1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AR2026
CompPow: A Case for Component-level GPU Power Management
Shaizeen Aga, Mohamed Assem Ibrahim
The ever increasing demand for ML-driven intelligence in a wide spectrum of domains has led to ubiquity of GPUs. At the same time, GPUs are notorious for their power consumption ne…
cs.AR2023★ 1 cited
Collaborative Acceleration for FFT on Commercial Processing-In-Memory Architectures
Mohamed Assem Ibrahim, Shaizeen Aga
This paper evaluates the efficacy of recent commercial processing-in-memory (PIM) solutions to accelerate fast Fourier transform (FFT), an important primitive across several domain…