World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
11885
World Ranking
7055
National Ranking
3097

Overview

Ioan Raicu is affiliated with the Illinois Institute of Technology in the United States. Their research primarily focuses on computer science with a strong emphasis on subfields such as computer networks and communications, hardware and architecture, information systems, information systems and management, and management science and operations research.

The main topics covered in their work include:

  • Parallel Computing and Optimization Techniques
  • Advanced Data Storage Technologies
  • Distributed and Parallel Computing Systems
  • Scientific Computing and Data Management
  • Data Quality and Management
  • Research Data Management Practices
  • Caching and Content Delivery

Ioan Raicu's recent publications reflect their involvement in parallel computing, data indexing, and data management within high-end computing systems. The following papers have been published by Raicu and coauthors:

  • X-OpenMP - eXtreme fine-grained tasking using lock-less work stealing, 2024, Future Generation Computer Systems
  • Evaluation of a scientific data search infrastructure, 2022, Concurrency and Computation Practice and Experience
  • SCIPIS: Scalable and concurrent persistent indexing and search in high-end computing systems, 2024, Journal of Parallel and Distributed Computing
  • SCANNS: Towards Scalable and Concurrent Data Indexing and Searching in High-End Computing System, 2022, 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)
  • X-Openmp - Extreme Fine-Grained Tasking Using Lock-Less Work Stealing, 2023, SSRN Electronic Journal

Their frequent coauthors include Kyle Chard, Poornima Nookala, Alexandru Iulian Orhean, Anna Giannakou, and Lavanya Ramakrishnan. These collaborations highlight a consistent team effort within the domains of high-performance computing and data management.

Ioan Raicu has contributed to various publication venues such as:

  • Future Generation Computer Systems
  • Concurrency and Computation Practice and Experience
  • Journal of Parallel and Distributed Computing
  • 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)
  • SSRN Electronic Journal

Their research outputs include experimental work on lock-less work stealing for tasking, scalable indexing infrastructure for scientific data, and evaluation of data search systems. Through these publications and topical contributions, they engage with challenges related to optimizing computing performance and data access within distributed and parallel environments.

Best Publications

  • Cloud Computing and Grid Computing 360-Degree Compared

    I. Foster;Yong Zhao;I. Raicu;S. Lu

  • The Globus Striped GridFTP Framework and Server

    William Allcock;John Bresnahan;Rajkumar Kettimuthu;Michael Link

  • Swift: Fast, Reliable, Loosely Coupled Parallel Computation

    Yong Zhao;M. Hategan;B. Clifford;I. Foster

  • Falkon: a Fast and Light-weight tasK executiON framework

    Ioan Raicu;Yong Zhao;Catalin Dumitrescu;Ian Foster

  • Many-task computing for grids and supercomputers

    I. Raicu;I.T. Foster;Yong Zhao

  • Monitoring and Discovery in a Web Services Framework: Functionality and Performance of Globus Toolkit MDS4

    Jennifer M. Schopf;Ioan Raicu;Laura Pearlman;Neill Miller

  • ZHT: A Light-Weight Reliable Persistent Dynamic Scalable Zero-Hop Distributed Hash Table

    Tonglin Li;Xiaobing Zhou;Kevin Brandstatter;Dongfang Zhao

  • Toward loosely coupled programming on petascale systems

    Ioan Raicu;Zhao Zhang;Mike Wilde;Ian Foster

  • Optimizing load balancing and data-locality with data-aware scheduling

    Ke Wang;Xraobing Zhou;Tonglin Li;Dongfang Zhao

  • FusionFS: Toward supporting data-intensive scientific applications on extreme-scale high-performance computing systems

    Dongfang Zhao;Zhao Zhang;Xiaobing Zhou;Tonglin Li

  • New scheduling approach using reinforcement learning for heterogeneous distributed systems

    Alexandru Iulian Orhean;Florin Pop;Ioan Raicu

  • Opportunities and Challenges in Running Scientific Workflows on the Cloud

    Yong Zhao;Xubo Fei;Ioan Raicu;Shiyong Lu

  • Parallel Scripting for Applications at the Petascale and Beyond

    M. Wilde;I. Foster;K. Iskra;P. Beckman

  • Towards Loosely-Coupled Programming on Petascale Systems

    Ioan Raicu;Zhao Zhang;Mike Wilde;Ian Foster

  • Understanding the Performance and Potential of Cloud Computing for Scientific Applications

    Iman Sadooghi;Jesus Hernandez Martin;Tonglin Li;Kevin Brandstatter

  • Accelerating large-scale data exploration through data diffusion

    Ioan Raicu;Yong Zhao;Ian T. Foster;Alex Szalay

  • Scientific Workflow Systems for 21st Century, New Bottle or New Wine?

    Yong Zhao;I. Raicu;I. Foster

  • Making a case for distributed file systems at Exascale

    Ioan Raicu;Ian T. Foster;Pete Beckman

  • ADAPT: Availability-Aware MapReduce Data Placement for Non-dedicated Distributed Computing

    Hui Jin;Xi Yang;Xian-He Sun;Ioan Raicu

  • Evaluating IPv4 to IPv6 transition mechanisms

    I. Raicu;S. Zeadally

Frequent Co-Authors

Ian Foster
Ian Foster University of Chicago
Michael Wilde
Michael Wilde Argonne National Laboratory
Pete Beckman
Pete Beckman Northwestern University
Alexander S. Szalay
Alexander S. Szalay Johns Hopkins University
Shiyong Lu
Shiyong Lu Wayne State University
Matei Ripeanu
Matei Ripeanu University of British Columbia
Xian-He Sun
Xian-He Sun Illinois Institute of Technology
Sherali Zeadally
Sherali Zeadally University of Kentucky
Douglas Thain
Douglas Thain University of Notre Dame
Yogesh Simmhan
Yogesh Simmhan Indian Institute of Science

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 a future in Computer Science opens up numerous flexible educational options in the USA. For students looking to fast-track their careers, there are many easy degrees to get online that pay well, offering solid earning potential with less time investment.

Beyond traditional paths, emerging technology fields like artificial intelligence have become more accessible than ever. Numerous ai online degrees offer a gateway into this high-demand sector, often at a fraction of the cost of on-campus programs.

Deciding on the right area of study is crucial. Reviewing a list of top college programs can help you find a degree that matches your interests, career goals, and future job prospects.

For those considering graduate studies, several easiest online masters degree programs provide a streamlined path to advancing your qualifications without sacrificing work or personal commitments.

Best Scientists Citing Ioan Raicu

Trending Scientists

Recently Published Articles