World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
23847
World Ranking
1942
National Ranking
983

Research.com Recognitions

  • 2018 - ACM Fellow For contributions to computer architecture, including the open RISC-V instruction set and Agile hardware development
  • 2014 - IEEE Fellow For contributions to computer architecture
  • 2011 - ACM Distinguished Member

Overview

Krste Asanovic is affiliated with the University of California, Berkeley in the United States. Their research contributions focus primarily on various aspects of computer science and engineering, particularly within electrical and electronic engineering.

Asanovic's main fields of study include Computer Science and Engineering, with subfields spanning Electrical and Electronic Engineering, Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications, and Information Systems.

The main topics covered in Asanovic's work include:

  • Low-power high-performance VLSI design
  • Parallel Computing and Optimization Techniques
  • Radiation Effects in Electronics
  • Advancements in Semiconductor Devices and Circuit Design
  • Security and Verification in Computing
  • Embedded Systems Design Techniques
  • VLSI and FPGA Design Techniques

Recent publications by Asanovic span a range of venues, reflecting their multidisciplinary approach to research. Selected papers include:

  • "Chipyard: Integrated Design, Simulation, and Implementation Framework for Custom SoCs," 2020, IEEE Micro
  • "Hammer," 2022, Proceedings of the 59th ACM/IEEE Design Automation Conference
  • "AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning," 2020, arXiv (Cornell University)
  • "An Eight-Core 1.44-GHz RISC-V Vector Processor in 16-nm FinFET," 2021, IEEE Journal of Solid-State Circuits
  • "Building Open Trusted Execution Environments," 2020, IEEE Security & Privacy

Regular publication venues for Asanovic include:

  • IEEE Micro
  • arXiv (Cornell University)
  • Proceedings of the 59th ACM/IEEE Design Automation Conference
  • IEEE Security & Privacy
  • IEEE Journal of Solid-State Circuits

Frequent co-authors working collaboratively with Asanovic are:

  • Borivoje Nikolić
  • Colin Schmidt
  • John Wright
  • Alon Amid
  • Jerry Zhao

A number of recognitions have been awarded to Asanovic, including:

  • ACM Fellow (2018) for contributions to computer architecture, including the open RISC-V instruction set and Agile hardware development
  • IEEE Fellow (2014) for contributions to computer architecture
  • ACM Distinguished Member (2011)

Best Publications

  • The Landscape of Parallel Computing Research: A View from Berkeley

    Krste Asanovic;Ras Bodik;Bryan Christopher Catanzaro;Joseph James Gebis

  • Single-chip microprocessor that communicates directly using light

    Chen Sun;Chen Sun;Mark T. Wade;Yunsup Lee;Jason S. Orcutt;Jason S. Orcutt

  • Chisel: constructing hardware in a Scala embedded language

    Jonathan Bachrach;Huy Vo;Brian Richards;Yunsup Lee

  • Unbounded Transactional Memory

    C.S. Ananian;K. Asanovic;B.C. Kuszmaul;C.E. Leiserson

  • Energy-aware lossless data compression

    Kenneth C. Barr;Krste Asanović

  • A view of the parallel computing landscape

    Krste Asanovic;Rastislav Bodik;James Demmel;Tony Keaveny

  • Optimizing matrix multiply using PHiPAC: a portable, high-performance, ANSI C coding methodology

    Jeff Bilmes;Krste Asanovic;Chee-Whye Chin;Jim Demmel

  • Building Many-Core Processor-to-DRAM Networks with Monolithic CMOS Silicon Photonics

    C. Batten;A. Joshi;J. Orcutt;A. Khilo

  • Direction-optimizing breadth-first search

    Scott Beamer;Krste Asanovic;David Patterson

  • Building Manycore Processor-to-DRAM Networks with Monolithic Silicon Photonics

    C. Batten;A. Joshi;J. Orcutt;A. Khilo

  • Victim Replication: Maximizing Capacity while Hiding Wire Delay in Tiled Chip Multiprocessors

    Michael Zhang;Krste Asanovic

  • Optimizing matrix multiply using PHiPAC: a portable, high-performance, ANSI C coding methodology

    Unknown

  • Mondrian memory protection

    Emmett Witchel;Josh Cates;Krste Asanović

  • Silicon-photonic clos networks for global on-chip communication

    Ajay Joshi;Christopher Batten;Yong-Jin Kwon;Scott Beamer

  • Keystone: an open framework for architecting trusted execution environments

    Dayeol Lee;David Kohlbrenner;Shweta Shinde;Krste Asanović

  • Chipyard: Integrated Design, Simulation, and Implementation Framework for Custom SoCs

    Alon Amid;David Biancolin;Abraham Gonzalez;Daniel Grubb

  • PHANTOM: practical oblivious computation in a secure processor

    Martin Maas;Eric Love;Emil Stefanov;Mohit Tiwari

  • Dynamic zero compression for cache energy reduction

    Luis Villa;Michael Zhang;Krste Asanović

  • Scalable processors in the billion-transistor era: IRAM

    C.E. Kozyrakis;S. Perissakis;D. Patterson;T. Anderson

  • The GAP Benchmark Suite

    Scott Beamer;Krste Asanovic;David A. Patterson

  • The Vector-Thread Architecture

    Ronny Krashinsky;Christopher Batten;Mark Hampton;Steve Gerding

  • Vector microprocessors

    Krste Asanovic;John Wawrzynek

Frequent Co-Authors

David A. Patterson
David A. Patterson University of California, Berkeley
John Wawrzynek
John Wawrzynek University of California, Berkeley
Borivoje Nikolic
Borivoje Nikolic University of California, Berkeley
Nelson Morgan
Nelson Morgan International Computer Science Institute
Vladimir Stojanovic
Vladimir Stojanovic University of California, Berkeley
John Kubiatowicz
John Kubiatowicz University of California, Berkeley
Ion Stoica
Ion Stoica University of California, Berkeley
Elad Alon
Elad Alon University of California, Berkeley
Brian Kingsbury
Brian Kingsbury IBM (United States)
Dawn Song
Dawn Song University of California, Berkeley

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees can open diverse career pathways in Computer Science and related fields. For students seeking flexibility or quick workforce entry, what is the easiest associate's degree to get is a common question, as associate programs provide foundational knowledge and are often more accessible in both commitment and cost.

Many established professionals also consider advanced qualifications to progress in their careers. If you aim for leadership or teaching roles, numerous edd programs online offer affordable options to earn a Doctorate in Education, a valuable credential in academic or administrative settings.

The reputation and accreditation of your institution matter. To ensure credibility and quality, review the top 10 online universities for nationally accredited programs. Choosing a recognized institution can boost your job prospects.

If your interest lies in interactive media, pursuing a game development online degree can launch a creative and technical career in the growing gaming industry.

Best Scientists Citing Krste Asanovic

Trending Scientists

Recently Published Articles