16 citations · 28 across the 8 of their papers we have counts for
5 papers · 1 filter
Taming the Tail: NoI Topology Synthesis for Mixed DL Workloads on Chiplet-Based Accelerators
Arnav Shukla, Harsh Sharma, Srikant Bharadwaj +2
Heterogeneous chiplet-based systems improve scaling by disag-gregating CPUs/GPUs and emerging technologies (HBM/DRAM).However this on-package disaggregation introduces a latency in…
Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers
Rya Sanovar, Srikant Bharadwaj, Renee St. Amant +2
Transformer-based models have emerged as one of the most widely used architectures for natural language processing, natural language generation, and image generation. The size of t…
Predict; Do not React for Enabling Efficient Fine Grain DVFS in GPUs
Srikant Bharadwaj, Shomit Das, Kaushik Mazumdar +2
With the continuous improvement of on-chip integrated voltage regulators (IVRs) and fast, adaptive frequency control, dynamic voltage-frequency scaling (DVFS) transition times have…
The gem5 Simulator: Version 20.0+
Jason Lowe-Power, Abdul Mutaal Ahmad, Ayaz Akram +75
The open-source and community-supported gem5 simulator is one of the most popular tools for computer architecture research. This simulation infrastructure allows researchers to mod…
Optimizing GPU Cache Policies for MI Workloads
Johnathan Alsop, Matthew D. Sinclair, Srikant Bharadwaj +8
In recent years, machine intelligence (MI) applications have emerged as a major driver for the computing industry. Optimizing these workloads is important but complicated. As memor…