Abhishek Bhattacharjee

A. Bartlett Giamatti Professor of Computer Science

Yale University


abhishek at cs.yale.edu

I work on making computer systems more efficient—both by increasing execution speed and by improving programmer productivity—to better support advanced AI and neurotechnology. My core expertise is in computer architecture, and I also design operating systems, compilers, and chips to achieve these goals.

My group highlighted the growing overhead of memory address translation and developed optimizations that are now widely adopted. Companies and open-source projects including AMD, NVIDIA, RISC-V, Meta, and Linux have integrated our ideas on coalesced TLBs and translation contiguity into billions of microprocessors and operating systems. This work is detailed in my book on virtual memory and in the appendix of the classic quantitative computer architecture textbook.

We also build computer systems for brain-computer interfaces to advance neurological treatments and our understanding of brain function. Our HALO and SCALO projects invent novel low-power and flexible chips for brain-computer interfaces. To stress-test our designs, we are not only proposing new architectures but also implementing them in real silicon chips. Our hardware has been successfully interfaced in real time with the brains of two individuals undergoing neurosurgery in the operating room. For more details, see my ASPLOS ’23 keynote, and keep an eye out for our upcoming CCC visioning workshop report.

I was honored with the 2023 ACM SIGARCH Maurice Wilkes Award “for contributions to memory address translation used in widely available commercial microprocessors and operating systems.” My research has also received a Best Paper Award at ISCA ’23 and a Distinguished Paper Award at ASPLOS ’23, and has been selected for inclusion in IEEE’s Top Picks in Computer Architecture magazine six times, with two additional papers recognized as honorable mentions. Two of my papers were also selected for ISCA’s 50th Anniversary Retrospective Volume, recognizing their lasting impact on the field.

On the teaching front, I received Yale College’s 2025 Dylan Hixon ’88 Prize for excellence in instruction across the natural sciences, as well as Yale 2022 Ackerman Award for excellence in teaching in engineering.

teaching & research

    Selected Talks

  • Link
    Catalyzing Computing for Brain-Computer Interfaces
    UC Berkeley EECS, May'25
    Utah Computer Science & Blackrock Neurotech, March '25
    Yale Center for Brain and Mind Health, Feb'25
    Synchron Distinguished Colloquium, Aug'24
    Princeton Precision Health Institute, June'24
    Northwestern Computer Science Distinguished Lecture Series, Nov'23
    Cornell Computer Systems Lab, Oct'23
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    Direct Mind-Machine Teaming
    ASPLOS'23 keynote
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    Machines that Help Heal the Brain
    Yale for Humanity Campaign, Nov'23
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    HALO: A Flexible and Low Power Processing Fabric for Brain-Computer Interfaces, Hot Chips'22
    Our HALO chip tape-out is detailed in the session on academic projects
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    Fast Address Translation in the Era of Big-Memory Servers
    AMD Research & Advanced Development, July'24
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    Efficient Data Tiering for Heterogeneous Memory Systems
    Meta AI and Systems Co-Design Summit, Oct'23
    • Selected Publications

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    Fiduciary AI for the Future of Brain-Technology Interactions
    Embedding fiduciary duties-loyalty, care, and confidentiality-directly into BCI-integrated brain foundation models
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    Scalable Far Memory: Balancing Faults and Evictions, SOSP'25
    Optimizations to improve scaling of data movement to far memory
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    Dataflow-Specific Algorithms for Resource-Constrained Scheduling and Memory Design, SPAA'25
    Weighted red-blue pebble games for memory design in power-constrained implantable BCIs
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    Foresee: A Modular and Open Framework to Explore Integrated Processing on Brain-Computer Interfaces, EMBC'25
    A design space exploration tool for BCI computer systems
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    Single Address Space FaaS with Jord, ISCA'25
    An exposition of Function-as-a-Service assist with single address space virtual memory
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    PULSE: Accelerating Distributed Pointer Traversals on Disaggregated Memory, ASPLOS'25
    Pointer chasing acceleration for disaggregated memory
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    Understanding Address Translation Scaling Behaviors Using Performance Counters, IISWC'24
    An exploration of address translation behavior as a function of application memory footprint
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    Characterizing Emerging Page Replacement Policies for Memory-Intensive Applications, IISWC'24
    An exploration of Linux's Multi-Generational LRU replacement policy
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    CryptoMMU: Enabling Scalable and Secure Access Control of Third-Party Accelerators, MICRO'23
    Best Paper Award Nominee
    Sandboxing accelerators using cryptographic approaches
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    Prefetching Using Principles of Hippocampal-Neocortical Interaction, HotOS'23
    Using principles of cognition to build leaner learned memory page prefetchers
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    SCALO: An Accelerator-Rich Distributed System for Scalable Brain-Computer Interfacing, ISCA'23
    Best Paper Award
    Selected for inclusion in IEEE Micro's Top Picks in Computer Architecture
    A distributed system of HALO chips in multiple brain implants
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    Imprecise Store Exceptions, ISCA'23
    On the implications of deeper memory hierarchies for precise exceptions
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    Mosaic Pages: Big TLB Reach with Small Pages, ASPLOS'23
    Distinguished Paper Award
    Selected for inclusion in IEEE Micro's Top Picks in Computer Architecture
    A theoretically-backed approach to virtual memory and memory translation
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    Distill: Domain-Specific Compilation for Cognitive Models, CGO'22
    Compiler tools for large-scale computational modeling of cognitive control in the human brain
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    MIND: In-Network Memory Management for Disaggregated Data Centers, SOSP'21
    Pushing virtual memory functionality into programmable network switches for memory disaggregation
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    Rebooting Virtual Memory with Midgard, ISCA'21
    A study of the benefits of making hardware aware of the concept of virtual memory areas
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    Hardware-Software Co-Design for Brain-Computer Interfaces, ISCA'20
    IEEE Micro's Top Picks in Computer Architecture
    Selected as part of the ISCA-50 retrospective program
    Check out a layout diagram of our HALO chips as well as their close-up and batch snaps
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    Translation Ranger: Operating System Support for Contiguity-Aware TLBs, ISCA'19
    Check out our kernel here
    Check out the status of our Linux patchset
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    Generic System Calls for GPUs, ISCA'18
    Honorable mention, IEEE Micro's Top Picks in Computer Architecture
    Released under the Radeon Open Compute project for ultrascale computing
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    Translation-Triggered Prefetching, ASPLOS'17
    IEEE Micro's Top Picks in Computer Architecture
    Best paper award nominee
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    COATCheck: Verifying Memory Ordering at the Hardware-OS Interface, ASPLOS'16
    IEEE Micro's Top Picks in Computer Architecture
    Our COATCheck tool is available here
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    Architectural Support for Address Translation on GPUs, ASPLOS'14
    IEEE Micro's Top Picks in Computer Architecture
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    COLT: Coalesced Large-Reach TLBs, MICRO'12
    Integrated in AMD chips, beginning with the Zen architecture
    • Textbooks

  • Link
    Architectural and Operating System Support for Virtual Memory
    Synthesis lecture monograph on introductory and more advanced virtual memory concepts
  • PDF
    Advanced Concepts on Address Translation

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

    • Teaching

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    Introduction to Systems Programming & Computer Organization (CPSC 323)
    Spring'20, Spring'21, Spring'22, Fall'22
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    Computer Architecture (CPSC 420/520, EENG 420, ENAS 820)
    Spring'23, Spring'24, Spring'25