World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
7609
World Ranking
7253
National Ranking
3164

Overview

James C. Hoe is affiliated with Carnegie Mellon University in the United States. Their research contributions primarily focus on computer science, with particular emphasis in several subfields and main topics.

The scientist's work spans areas such as computer networks and communications, artificial intelligence, information systems and management, computational mathematics, and aerospace engineering. Key topics of interest include software-defined networks and 5G, scientific computing and data management, seismology and earthquake studies, tensor decomposition and applications, radar systems and signal processing, numerical methods and algorithms, as well as network security and intrusion detection.

Recent publications demonstrate a breadth of engagement in technical and interdisciplinary research. Selected recent papers include:

  • "Zoom Out: Abstractions for Efficient Radar Algorithms on COTS architectures," 2022, published in the 2022 IEEE International Symposium on Phased Array Systems & Technology (PAST)
  • "Exploiting the Common Case When Accelerating Input-Dependent Stream Processing by FPGA," 2022, IEEE Transactions on Computers
  • "Perspectives on AI Architectures and Codesign for Earth System Predictability," 2023, Artificial Intelligence for the Earth Systems
  • "A Roadmap for Enabling a Future-Proof In-Network Computing Data Plane Ecosystem," 2021, arXiv (Cornell University)
  • "Perspectives on AI Architectures and Co-design for Earth System Predictability," 2023, arXiv (Cornell University)

The scientist frequently publishes in venues such as arXiv (Cornell University), the IEEE International Symposium on Phased Array Systems & Technology, IEEE Transactions on Computers, Artificial Intelligence for the Earth Systems, and IEEE Micro.

James C. Hoe collaborates with several researchers, with frequent coauthors including Maruti Kumar Mudunuru, James Ang, Mahantesh Halappanavar, Simon David Hammond, and Maya Gokhale. Each of these collaborators has coauthored multiple works alongside the scientist.

Best Publications

  • SMARTS: accelerating microarchitecture simulation via rigorous statistical sampling

    Roland E. Wunderlich;Thomas F. Wenisch;Babak Falsafi;James C. Hoe

  • SimFlex: Statistical Sampling of Computer System Simulation

    T.F. Wenisch;R.E. Wunderlich;M. Ferdman;A. Ailamaki

  • Multi-bit Error Tolerant Caches Using Two-Dimensional Error Coding

    Jangwoo Kim;Nikos Hardavellas;Ken Mai;Babak Falsafi

  • Single-Chip Heterogeneous Computing: Does the Future Include Custom Logic, FPGAs, and GPGPUs?

    Eric S. Chung;Peter A. Milder;James C. Hoe;Ken Mai

  • Dual use of superscalar datapath for transient-fault detection and recovery

    Joydeep Ray;James C. Hoe;Babak Falsafi

  • CONNECT: re-examining conventional wisdom for designing nocs in the context of FPGAs

    Michael K. Papamichael;James C. Hoe

  • RAMP: Research Accelerator for Multiple Processors

    J. Wawrzynek;D. Patterson;M. Oskin;Shin-Lien Lu

  • Data reorganization in memory using 3D-stacked DRAM

    Berkin Akin;Franz Franchetti;James C. Hoe

  • Fingerprinting: bounding soft-error detection latency and bandwidth

    Jared C. Smolens;Brian T. Gold;Jangwoo Kim;Babak Falsafi

  • SimFlex: a fast, accurate, flexible full-system simulation framework for performance evaluation of server architecture

    Nikolaos Hardavellas;Stephen Somogyi;Thomas F. Wenisch;Roland E. Wunderlich

  • Reunion: Complexity-Effective Multicore Redundancy

    Jared C. Smolens;Brian T. Gold;Babak Falsafi;James C. Hoe

  • CoRAM: an in-fabric memory architecture for FPGA-based computing

    Eric S. Chung;James C. Hoe;Ken Mai

  • Computer Generation of Hardware for Linear Digital Signal Processing Transforms

    Peter Milder;Franz Franchetti;James C. Hoe;Markus Püschel

  • A 3D-stacked logic-in-memory accelerator for application-specific data intensive computing

    Qiuling Zhu;Berkin Akin;H. Ekin Sumbul;Fazle Sadi

  • GraphGen: An FPGA Framework for Vertex-Centric Graph Computation

    Eriko Nurvitadhi;Gabriel Weisz;Yu Wang;Skand Hurkat

  • ProtoFlex: Towards Scalable, Full-System Multiprocessor Simulations Using FPGAs

    Eric S. Chung;Michael K. Papamichael;Eriko Nurvitadhi;James C. Hoe

  • Commercial Antivirus Software Effectiveness: An Empirical Study

    Orathai Sukwong;Hyong S Kim;James C Hoe

  • Hardware Synthesis from Term Rewriting Systems

    James C. Hoe;Arvind

  • Time-Multiplexed Multiple-Constant Multiplication

    P.. Tummeltshammer;J.C. Hoe;M.. Puschel

  • SPIRAL: Extreme Performance Portability

    Franz Franchetti;Tze Meng Low;Doru Thom Popovici;Richard M. Veras

  • Detecting Emerging Wearout Faults

    Jared C. Smolens;Brian T. Gold;James C. Hoe;Babak Falsafi

Frequent Co-Authors

Babak Falsafi
Babak Falsafi École Polytechnique Fédérale de Lausanne
Franz Franchetti
Franz Franchetti Carnegie Mellon University
Robert I. Killey
Robert I. Killey University College London
Thomas F. Wenisch
Thomas F. Wenisch University of Michigan–Ann Arbor
Ken Mai
Ken Mai Carnegie Mellon University
Krste Asanovic
Krste Asanovic University of California, Berkeley
Larry Pileggi
Larry Pileggi Carnegie Mellon University
Jose M. F. Moura
Jose M. F. Moura Carnegie Mellon University

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