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Daniel Sanchez

Daniel Sanchez

D-Index & Metrics

Computer Science

D-Index
35
Citations
5926
World Ranking
11611
National Ranking
4762

Overview

Daniel Sanchez is affiliated with MIT in the United States. Their research is primarily situated within the broad field of Computer Science, focusing on several subfields including Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition, and Computational Theory and Mathematics.

Their main topics of work emphasize Cryptography and Data Security, Cryptography and Residue Arithmetic, Cryptographic Implementations and Security, and Chaos-based Image/Signal Encryption. Additionally, the topics cover Optimization and Search Problems, Computability, Logic, AI Algorithms, and Advanced Data Storage Technologies.

Daniel Sanchez has coauthored multiple publications with several researchers, prominently collaborating with Nikola Samardzic, Srinivas Devadas, Aleksandar Krastev, Simon Langowski, and Axel Feldmann. These partnerships reflect a consistent engagement with experts in related domains.

Their work has appeared in frequent publication venues such as IEEE Micro, Science, Proceedings of the ACM on Programming Languages, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, and arXiv (Cornell University).

Selected recent papers include:

  • There's plenty of room at the Top: What will drive computer performance after Moore's law?, 2020, Science
  • F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption (Extended Version), 2021, arXiv (Cornell University)
  • A Tensor Compiler with Automatic Data Packing for Simple and Efficient Fully Homomorphic Encryption, 2024, Proceedings of the ACM on Programming Languages
  • Designing Hardware for Cryptography and Cryptography for Hardware, 2022, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
  • Leaking Secrets Through Compressed Caches, 2021, IEEE Micro

Best Publications

  • ZSim: fast and accurate microarchitectural simulation of thousand-core systems

    Daniel Sanchez;Christos Kozyrakis

  • There’s plenty of room at the Top: What will drive computer performance after Moore’s law?

    Charles E. Leiserson;Neil C. Thompson;Joel S. Emer;Joel S. Emer;Bradley C. Kuszmaul

  • Vantage: scalable and efficient fine-grain cache partitioning

    Daniel Sanchez;Christos Kozyrakis

  • The ZCache: Decoupling Ways and Associativity

    Daniel Sanchez;Christos Kozyrakis

  • F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption

    Nikola Samardzic;Axel Feldmann;Aleksandar Krastev;Srinivas Devadas

  • CraterLake: a hardware accelerator for efficient unbounded computation on encrypted data

    Unknown

  • Tailbench: a benchmark suite and evaluation methodology for latency-critical applications

    Harshad Kasture;Daniel Sanchez

  • Tarcil: reconciling scheduling speed and quality in large shared clusters

    Christina Delimitrou;Daniel Sanchez;Christos Kozyrakis

  • Ubik: efficient cache sharing with strict qos for latency-critical workloads

    Harshad Kasture;Daniel Sanchez

  • Flexible architectural support for fine-grain scheduling

    Daniel Sanchez;Richard M. Yoo;Christos Kozyrakis

  • TicToc: Time Traveling Optimistic Concurrency Control

    Xiangyao Yu;Andrew Pavlo;Daniel Sanchez;Srinivas Devadas

  • Implementing Signatures for Transactional Memory

    Daniel Sanchez;Luke Yen;Mark D. Hill;Karthikeyan Sankaralingam

  • An analysis of on-chip interconnection networks for large-scale chip multiprocessors

    Daniel Sanchez;George Michelogiannakis;Christos Kozyrakis

  • Rubik: fast analytical power management for latency-critical systems

    Harshad Kasture;Davide B. Bartolini;Nathan Beckmann;Daniel Sanchez

  • Evaluating Bufferless Flow Control for On-chip Networks

    George Michelogiannakis;Daniel Sanchez;William J. Dally;Christos Kozyrakis

  • SCD: A scalable coherence directory with flexible sharer set encoding

    Daniel Sanchez;Christos Kozyrakis

  • Exploiting locality in graph analytics through hardware-accelerated traversal scheduling

    Anurag Mukkara;Nathan Beckmann;Maleen Abeydeera;Xiaosong Ma

  • KPart: A Hybrid Cache Partitioning-Sharing Technique for Commodity Multicores

    Nosayba El-Sayed;Anurag Mukkara;Po-An Tsai;Harshad Kasture;Harshad Kasture

  • Gamma: leveraging Gustavson’s algorithm to accelerate sparse matrix multiplication

    Guowei Zhang;Nithya Attaluri;Joel S. Emer;Daniel Sanchez

  • A scalable architecture for ordered parallelism

    Mark C. Jeffrey;Suvinay Subramanian;Cong Yan;Joel Emer

  • Jigsaw: scalable software-defined caches

    Nathan Beckmann;Daniel Sanchez

  • Talus: A simple way to remove cliffs in cache performance

    Nathan Beckmann;Daniel Sanchez

Frequent Co-Authors

Christos Kozyrakis
Christos Kozyrakis Stanford University
Butler W. Lampson
Butler W. Lampson Microsoft (United States)
Chris Peikert
Chris Peikert University of Michigan–Ann Arbor
Andrew Pavlo
Andrew Pavlo Carnegie Mellon University
Michael Taylor
Michael Taylor University of Washington
William J. Dally
William J. Dally Nvidia (United Kingdom)

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