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D-Index & Metrics

Computer Science

D-Index
31
Citations
5477
World Ranking
13476
National Ranking
5388

Overview

Jose F. Martinez is affiliated with Cornell University in the United States. Their research spans multiple fields, with a focus on computer science and medicine. Within these areas, their work covers subfields such as molecular biology, physiology, artificial intelligence, information systems, and hardware and architecture.

The scientist's contributions include research on simulation-based education in healthcare, stochastic gradient optimization techniques, cloud computing and resource management, parallel computing and optimization techniques, genomics and phylogenetic studies, scientific computing and data management, and microbial community ecology and physiology.

Recent publications authored or co-authored by Jose F. Martinez include:

  • VisSched: An Auction-Based Scheduler for Vision Workloads on Heterogeneous Processors, 2020, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • CAMP: A modular metagenomics analysis system for integrated multi-step data exploration, 2023, bioRxiv (Cold Spring Harbor Laboratory)
  • VersaTile: Flexible Tiled Architectures via Associative Processors, 2025, ACM Transactions on Architecture and Code Optimization
  • The Effect of Medical School Simulation Training on Emotion in the Pulmonary Curriculum, 2025, American Journal of Respiratory and Critical Care Medicine
  • The Effect of Medical School Simulation Training on Cognitive Load in the Pulmonary Curriculum, 2025, American Journal of Respiratory and Critical Care Medicine

Frequent co-authors in their work include Neeka Farnoudi, Alexander Blood, S. Almugaiteeb, Abdullah Alismail, and Diksha Moolchandani.

They have published their research in venues such as:

  • American Journal of Respiratory and Critical Care Medicine
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • bioRxiv (Cold Spring Harbor Laboratory)
  • ACM Transactions on Architecture and Code Optimization

Best Publications

  • Self-Optimizing Memory Controllers: A Reinforcement Learning Approach

    Engin Ipek;Onur Mutlu;José F. Martínez;Rich Caruana

  • Core fusion: accommodating software diversity in chip multiprocessors

    Engin Ipek;Meyrem Kirman;Nevin Kirman;Jose F. Martinez

  • Leveraging Optical Technology in Future Bus-based Chip Multiprocessors

    Nevin Kirman;Meyrem Kirman;Rajeev K. Dokania;Jose F. Martinez

  • Coordinated management of multiple interacting resources in chip multiprocessors: A machine learning approach

    Ramazan Bitirgen;Engin Ipek;Jose F. Martinez

  • Dynamic power-performance adaptation of parallel computation on chip multiprocessors

    J. Li;J.F. Martinez

  • Cherry: Checkpointed early resource recycling in out-of-order microprocessors

    José F. Martínez;Jose Renau;Michael C. Huang;Milos Prvulovic

  • Architectural support for scalable speculative parallelization in shared-memory multiprocessors

    Marcelo Cintra;José F. Martínez;Josep Torrellas

  • PARTIES: QoS-Aware Resource Partitioning for Multiple Interactive Services

    Shuang Chen;Christina Delimitrou;José F. Martínez

  • Speculative synchronization: applying thread-level speculation to explicitly parallel applications

    José F. Martínez;Josep Torrellas

  • The thrifty barrier: energy-aware synchronization in shared-memory multiprocessors

    J. Li;J.F. Martinez;M.C. Huang

  • Utilizing Dynamically Coupled Cores to Form a Resilient Chip Multiprocessor

    C. LaFrieda;E. Ipek;J.F. Martinez;R. Manohar

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

    Eriko Nurvitadhi;Gabriel Weisz;Yu Wang;Skand Hurkat

  • Checkpointed early load retirement

    N. Kirman;M. Kirman;M. Chaudhuri;J.F. Martinez

  • Toward kilo-instruction processors

    Adrián Cristal;Oliverio J. Santana;Mateo Valero;José F. Martínez

  • Power-performance considerations of parallel computing on chip multiprocessors

    Jian Li;José F. Martínez

  • A power-efficient all-optical on-chip interconnect using wavelength-based oblivious routing

    Nevin Kirman;José F. Martínez

  • Dynamic Multicore Resource Management: A Machine Learning Approach

    J.F. Martinez;E. Ipek

  • Improving memory scheduling via processor-side load criticality information

    Saugata Ghose;Hyodong Lee;José F. Martínez

  • Power-Performance Implications of Thread-level Parallelism on Chip Multiprocessors

    J. Li;J.F. Martinez

  • Understanding and mitigating refresh overheads in high-density DDR4 DRAM systems

    Janani Mukundan;Hillery Hunter;Kyu-hyoun Kim;Jeffrey Stuecheli

  • Proceedings of the 42nd Annual IEEE/ACM International Symposium on Microarchitecture

    David Albonesi;Margaret Martonosi;David August;José Martínez

Frequent Co-Authors

Josep Torrellas
Josep Torrellas University of Illinois at Urbana-Champaign
Saugata Ghose
Saugata Ghose University of Illinois at Urbana-Champaign
David H. Albonesi
David H. Albonesi Cornell University
Mateo Valero
Mateo Valero Barcelona Supercomputing Center
Rich Caruana
Rich Caruana Microsoft (United States)
Carlos Guestrin
Carlos Guestrin Stanford University
Bronis R. de Supinski
Bronis R. de Supinski Lawrence Livermore National Laboratory
Rajit Manohar
Rajit Manohar Yale University
Margaret Martonosi
Margaret Martonosi Princeton University
Rob A. Rutenbar
Rob A. Rutenbar University of Pittsburgh

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