Varun Gohil Home· Work· Publications· Blog
  • Oct 2026 Our paper on an agentic copilot for hardware–software co-design selected for spotlight presentation at the ML for Systems workshop at NeurIPS 2026!
  • Aug 2026 Presented our work on agents for cloud performance debugging at the Jane St Research Symposium.
  • Apr 2026 Our paper QuArch: A Benchmark for Evaluating LLM Reasoning in Computer Architecture accepted to ICML 2026.
  • Apr 2026 Launched ml-for-systems.github.io to track ML-for-Systems papers in top-tier systems conferences.
  • Feb 2026 Paper on predictor hierarchies in ML for Systems accepted to the Architecture 2.0 workshop at ASPLOS 2026 [PDF].
  • Jan 2026 Our paper on building resilient ML-driven systems by using model uncertainty accepted to MLSys 2026 [PDF].
  • Jan 2026 TA for 6.S984: Datacenter Computing at MIT in Spring 2026.
  • Aug 2025 Presented work on improving the reliability of ML for Systems at the MIT/Jane St Research Symposium.
  • Jun 2025 Secured third place in the ArchReasoning Challenge at ISCA 2025.
  • May 2025 Started as a Student Researcher at Google, working on AI for HW/SW co-design with Amir Yazdanbakhsh, Kavya Sreedhar, and Suvinay Subramanian.
  • May 2025 Presented a poster on generalizability in ML for Systems at the LDOS PhD Research School at UT Austin.
  • Dec 2024 Paper on generalizability in ML for Systems selected as Best of CAL 2024!
  • Sep 2024 Vision paper on carbon footprint metrics for carbon-aware scheduling accepted to SoCC 2024 [PDF].
  • Sep 2024 Serving as a reviewer for the ML for Systems workshop at NeurIPS 2024.
  • Mar 2024 Paper on the importance of generalizability when using ML for systems accepted to Computer Architecture Letters [PDF].
  • Mar 2024 Paper on using Intel IAA to improve memory prefetching of serverless VMs accepted to OSDI 2024 [PDF].
  • Oct 2023 PRIMES mentees Alan Song and Evan Ning presented their work on RL for serverless resource management at the PRIMES conference (Code, Slides).
  • Sep 2023 Presented a poster on power management for microservices at the MIT Cloud and AI workshop.
  • Aug 2023 Completed summer research internship with the Services and Systems Infrastructure (S2Infra) Group at Google.

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