ABHISHEK BHATTACHARJEE

Associate Professor

Department of Computer Science

Yale University

I run the Systems Architecture Group at Yale. Our research lies at the intersection of computer architecture, operating systems, and compilers. Through the lens of these topics, we work on systems for data centers, brain-computer interfaces, and cognitive neuroscience. We are part of the Computer Systems Lab, and I am a Fellow of Grace Hopper College.

Our contributions to real-world systems include coalesced TLBs in AMD's chips, hugepage support in Linux, and GPU system calls in Radeon Open Compute. We are also actively working to patch our recent Translation Ranger work into Linux.

Yale CS is a great home for many reasons. So is Rutgers CS, where I was previously on the faculty. I completed my PhD from Princeton, and my BEng from McGill.

selected teaching and research

    Teaching Materials
  • PDF
    Advanced Concepts on Address Translation

    Appendix L in "Computer Architecture: A Quantitative Approach" by Hennessy and Patterson

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    Architectural and Operating System Support for Virtual Memory
    Synthesis lecture monograph on basic and advanced virtual memory concepts

    • Selected Research Publications
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    Translation Ranger: Operating System Support for Contiguity-Aware TLBs, ISCA '19
    Check out our kernel here
    We are working on patching Translation Ranger into the mainline Linux kernel
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    Nimble Page Management for Tiered Memory Systems, ASPLOS '19
    Native transparent hugepage migration has been integrated into the Linux kernel
    Our experimental kernel is available here
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    TLB Shootdown Mitigation for Low-Power Many-Core Servers with L1 Virtual Caches, CAL '18
    Basis for TLB coherence in Qualcomm's chips, beginning with the Centriq architecture
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    Scalable Distributed Last-Level TLBs Using Low-Latency Interconnects, MICRO '18
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    Generic System Calls for GPUs, ISCA '18
    Selected for honorable mention in IEEE Micro's Top Picks in Computer Architecture journal
    Released under the Radeon Open Compute project for ultrascale computing
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    SEESAW: Using Superpages to Improve VIPT Caches, ISCA '18
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    Scheduling Page Table Walks for Irregular GPU Applications, ISCA '18
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    LATR: Lazy Translation Coherence, ASPLOS '18
    Our experimental kernel is available here
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    Using Branch Predictors to Predict Brain Activity in Brain-Machine Implants, MICRO '17
    Selected for honorable mention in IEEE Micro's Top Picks in Computer Architecture journal
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    Hardware Translation Coherence for Virtualized Systems, ISCA '17
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    Translation-Triggered Prefetching, ASPLOS '17
    Best paper award nominee
    Selected for inclusion in IEEE Micro's Top Picks in Computer Architecture journal
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    Efficient Address Translation for Architectures with Multiple Page Sizes, ASPLOS '17
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    COATCheck: Verifying Memory Ordering at the Hardware-OS Interface, ASPLOS '16
    Selected for inclusion in IEEE Micro's Top Picks in Computer Architecture journal
    Our COATCheck tool is available here
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    Large Pages and Lightweight Memory Management in Virtualized Environments: Can You Have it Both Ways?, MICRO '15
    Best paper award nominee
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    Architectural Support for Address Translation on GPUs, ASPLOS '14
    Selected for inclusion in IEEE Micro's Top Picks in Computer Architecture journal
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    CoLT: Coalesced Large-Reach TLBs, MICRO '12
    Integrated in AMD chips, beginning with the Zen architecture