activity
20212026
most citedThe Sunk Carbon Fallacy: Rethinking Carbon Footprint Metrics for Effective Carbon-Aware Scheduling

19 citations · 19 across the 4 of their papers we have counts for

collaborators

5 papers

cs.PL2026

Coco: An Agentic Copilot for the Hardware--Software Co-Design Lifecycle

Samuel Kushnir, Kavya Sreedhar, Yeshwanth Reddy Pogula +8

Co-designing ML models and the accelerators that run them is an unusual reasoning task: architects must draw confident, high-stakes conclusions about systems that do not yet exist,…

cs.DC2026

Benchmarking Compound AI Applications for Hardware-Software Co-Design

Paramuth Samuthrsindh, Angel Cervantes, Varun Gohil +3

Compound AI applications, composed from interactions between Large Language Models (LLMs), Machine Learning (ML) models, external tools and data sources are quickly becoming an int…

cs.AR2025

QuArch: A Benchmark for Evaluating LLM Reasoning in Computer Architecture

Shvetank Prakash, Andrew Cheng, Mark Mazumder +24

The field of computer architecture, which bridges high-level software abstractions and low-level hardware implementations, remains absent from current large language model (LLM) ev…

cs.DC2024★ 19 cited

The Sunk Carbon Fallacy: Rethinking Carbon Footprint Metrics for Effective Carbon-Aware Scheduling

Noman Bashir, Varun Gohil, Anagha Belavadi +4

The rapid increase in computing demand and its corresponding energy consumption have focused attention on computing's impact on the climate and sustainability. Prior work proposes…

cs.AR2021

Fixed-Posit: A Floating-Point Representation for Error-Resilient Applications

Varun Gohil, Sumit Walia, Joycee Mekie +1

Today, almost all computer systems use IEEE-754 floating point to represent real numbers. Recently, posit was proposed as an alternative to IEEE-754 floating point as it has better…