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Sanjay Arora

Research Scientist, Red Hat Research
saarora@redhat.com
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Research Areas

AI-ML | Hardware and the OS

Partner Universities

Boston University

Related Projects

  • Code2Vec: Learning code representations
  • Automatic Configuration of Complex Hardware
  • Towards high performance and energy efficiency in open-source stream processing.
  • Tuning the Linux kernel
  • Automated detection of memory safety vulnerabilities in Rust
  • Co-Ops: Collaborative Open Source and Privacy-Preserving Training for Learning to Drive
  • Minimal Mobile Systems via Cloud-based Adaptive Task Processing
  • Discovering Opportunities for Optimizing OpenShift Energy Consumption

Publications

  • Reinforcement Learning Strategies for Compiler Optimization in High level Synthesis
  • Slowing Down for Performance and Energy: An OS-Centric Study in Network Driven Workloads
  • AutoAnnotate: Reinforcement Learning basedCode Annotation for High Level Synthesis
  • Improved Models for Policy-Agent Learning of Compiler Directives in HLS

RHRQ Articles (Authored or mentioned in)

  • Yuga: A tool to help Rust developers write unsafe code more safely
  • Research perspectives: Focus on AI and machine learning
  • Generative AI and large language models: how did we get here, where are we going, and what does it mean for open source?
  • Focus on artificial intelligence and machine learning | February 2024
  • 2024 Collaboratory awards promote innovation in the cloud

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