16 citations · 25 across the 10 of their papers we have counts for
11 papers
Fifty Years of ISCA: A data-driven retrospective on key trends
Gaurang Upasani, Matthew D. Sinclair, Adrian Sampson +5
Computer Architecture, broadly, involves optimizing hardware and software for current and future processing systems. Although there are several other top venues to publish Computer…
Integrating Per-Stream Stat Tracking into Accel-Sim
Shichen Qiao, Xin Su, Matthew D. Sinclair
Accel-Sim is a widely used computer architecture simulator that models the behavior of modern NVIDIA GPUs in great detail. However, although Accel-Sim and the underlying GPGPU-Sim…
Computation vs. Communication Scaling for Future Transformers on Future Hardware
Suchita Pati, Shaizeen Aga, Mahzabeen Islam +2
Scaling neural network models has delivered dramatic quality gains across ML problems. However, this scaling has increased the reliance on efficient distributed training techniques…
Not All GPUs Are Created Equal: Characterizing Variability in Large-Scale, Accelerator-Rich Systems
Prasoon Sinha, Akhil Guliani, Rutwik Jain +3
Scientists are increasingly exploring and utilizing the massive parallelism of general-purpose accelerators such as GPUs for scientific breakthroughs. As a result, datacenters, hyp…
A Case for Fine-grain Coherence Specialization in Heterogeneous Systems
Johnathan Alsop, Weon Taek Na, Matthew D. Sinclair +2
Hardware specialization is becoming a key enabler of energyefficient performance. Future systems will be increasingly heterogeneous, integrating multiple specialized and programmab…
Demystifying BERT: Implications for Accelerator Design
Suchita Pati, Shaizeen Aga, Nuwan Jayasena +1
Transfer learning in natural language processing (NLP), as realized using models like BERT (Bi-directional Encoder Representation from Transformer), has significantly improved lang…