Personal information

Activities

Employment (5)

Indiana University Bloomington: Bloomington, IN, US

2022-08-16 to present | Associate Professor (Luddy School of Informatics, Computing, and Engineering)
Employment
Source: Self-asserted source
Dingwen Tao

Washington State University: Pullman, Washington, US

2020-08-16 to 2022-08-15 | Assistant Professor (School of Electrical Engineering and Computer Science)
Employment
Source: Self-asserted source
Dingwen Tao

University of Alabama: Tuscaloosa, AL, US

2018-08-16 to 2020-08-15 | Assistant Professor (Computer Science)
Employment
Source: Self-asserted source
Dingwen Tao

Brookhaven National Laboratory: Upton, NY, US

2018-01-01 to 2018-06-30 | Research Assistant (Computational Science Initiative)
Employment
Source: Self-asserted source
Dingwen Tao

Argonne National Laboratory: Argonne, IL, US

2016-06 to 2017-12-31 | Research Aide (Mathematics and Computer Science)
Employment
Source: Self-asserted source
Dingwen Tao

Education and qualifications (2)

University of California Riverside: Riverside, CA, US

2013-09 to 2018-06 | Ph.D. (Computer Science and Engineering)
Education
Source: Self-asserted source
Dingwen Tao

University of Science and Technology of China: Hefei, Anhui, CN

2009-09 to 2013-06 | Bachelor of Science (College of Mathematics)
Education
Source: Self-asserted source
Dingwen Tao

Funding (15)

Collaborative Research: SHF: Small: Reimagining Communication Bottlenecks in GNN Acceleration through Collaborative Locality Enhancement and Compression Co-Design

2023-10-01 to 2026-09-30 | Grant
Directorate for Computer & Information Science & Engineering (Alexandria, US)
GRANT_NUMBER: 2326495
Source: Self-asserted source
Dingwen Tao via DimensionsWizard

Collaborative Research: Frameworks: FZ: A fine-tunable cyberinfrastructure framework to streamline specialized lossy compression development

2023-08-01 to 2027-07-31 | Grant
Directorate for Computer & Information Science & Engineering (Alexandria, US)
GRANT_NUMBER: 2311876
Source: Self-asserted source
Dingwen Tao via DimensionsWizard

CAREER: A Highly Effective, Usable, Performant, Scalable Data Reduction Framework for HPC Systems and Applications

2023-01-01 to 2027-12-31 | Grant
Directorate for Computer & Information Science & Engineering (Alexandria, US)
GRANT_NUMBER: 2312673
Source: Self-asserted source
Dingwen Tao via DimensionsWizard

CAREER: A Highly Effective, Usable, Performant, Scalable Data Reduction Framework for HPC Systems and Applications

2023-01-01 to 2023-01-31 | Grant
Directorate for Computer & Information Science & Engineering (Alexandria, US)
GRANT_NUMBER: 2232120
Source: Self-asserted source
Dingwen Tao via DimensionsWizard

Collaborative Research: OAC Core: CEAPA: A Systematic Approach to Minimize Compression Error Propagation in HPC Applications

2022-10-01 to 2025-09-30 | Grant
Directorate for Computer & Information Science & Engineering (Alexandria, US)
GRANT_NUMBER: 2247060
Source: Self-asserted source
Dingwen Tao via DimensionsWizard

Collaborative Research: Elements: ROCCI: Integrated Cyberinfrastructure for In Situ Lossy Compression Optimization Based on Post Hoc Analysis Requirements

2022-10-01 to 2024-10-31 | Grant
Directorate for Computer & Information Science & Engineering (Alexandria, US)
GRANT_NUMBER: 2247080
Source: Self-asserted source
Dingwen Tao via DimensionsWizard

CDS&E: Collaborative Research: HyLoC: Objective-driven Adaptive Hybrid Lossy Compression Framework for Extreme-Scale Scientific Applications

2022-10-01 to 2023-07-31 | Grant
Directorate for Computer & Information Science & Engineering (Alexandria, US)
GRANT_NUMBER: 2303064
Source: Self-asserted source
Dingwen Tao via DimensionsWizard

CRII: OAC: An Efficient Lossy Compression Framework for Reducing Memory Footprint for Extreme-Scale Deep Learning on GPU-Based HPC Systems

2022-10-01 to 2023-04-30 | Grant
Directorate for Computer & Information Science & Engineering (Alexandria, US)
GRANT_NUMBER: 2303820
Source: Self-asserted source
Dingwen Tao via DimensionsWizard

Collaborative Research: OAC Core: CEAPA: A Systematic Approach to Minimize Compression Error Propagation in HPC Applications

2022-08-15 to 2025-07-31 | Grant
Directorate for Computer & Information Science & Engineering (Alexandria, US)
GRANT_NUMBER: 2211539
Source: Self-asserted source
Dingwen Tao via DimensionsWizard

Collaborative Research: Elements: ROCCI: Integrated Cyberinfrastructure for In Situ Lossy Compression Optimization Based on Post Hoc Analysis Requirements

2021-09 to 2024-08 | Grant
Directorate for Computer and Information Science and Engineering (Arlington, US)
GRANT_NUMBER: 2104024
Source: Self-asserted source
Dingwen Tao
grade
Preferred source (of 2)‎

CDS&E: Collaborative Research: HyLoC: Objective-driven Adaptive Hybrid Lossy Compression Framework for Extreme-Scale Scientific Applications

2020-08-01 to 2023-07-31 | Grant
Directorate for Computer & Information Science & Engineering (Arlington, US)
GRANT_NUMBER: 2003624
Source: Self-asserted source
Dingwen Tao via DimensionsWizard

CDS&E: Collaborative Research: HyLoC: Objective-driven Adaptive Hybrid Lossy Compression Framework for Extreme-Scale Scientific Applications

2020-08-01 to 2023-07-31 | Grant
Directorate for Computer & Information Science & Engineering (Arlington, US)
GRANT_NUMBER: 2042084
Source: Self-asserted source
Dingwen Tao via DimensionsWizard

CC* Compute: Accelerating Advances in Science and Engineering at The University of Alabama Through HPC Infrastructure

2020-07-01 to 2022-06-30 | Grant
Directorate for Computer & Information Science & Engineering (Arlington, US)
GRANT_NUMBER: 2018846
Source: Self-asserted source
Dingwen Tao via DimensionsWizard

CRII: OAC: An Efficient Lossy Compression Framework for Reducing Memory Footprint for Extreme-Scale Deep Learning on GPU-Based HPC Systems

2020-05-12 to 2022-04-30 | Grant
Directorate for Computer & Information Science & Engineering (Arlington, US)
GRANT_NUMBER: 2034169
Source: Self-asserted source
Dingwen Tao via DimensionsWizard

CRII: OAC: An Efficient Lossy Compression Framework for Reducing Memory Footprint for Extreme-Scale Deep Learning on GPU-Based HPC Systems

2020-05-01 to 2020-06-30 | Grant
Directorate for Computer & Information Science & Engineering (Arlington, US)
GRANT_NUMBER: 1948447
Source: Self-asserted source
Dingwen Tao via DimensionsWizard

Research resources (3)

CAREER: A Highly Effective, Usable, Performant, Scalable Data Reduction Framework for HPC Systems and Applications

Computing Resources for Engineering Cloud Computing Course at Indiana University

An Efficient Lossy Compression Framework for Reducing Memory Footprint for Extreme-Scale Deep Learning on GPU-Based HPC Systems

Peer review (182 reviews for 32 publications/grants)

Review activity for ACM transactions on architecture and code optimization. (3)
Review activity for ACM transactions on Internet technology. (1)
Review activity for ACM transactions on storage. (2)
Review activity for ACM transactions on the internet of things. (1)
Review activity for Big data mining and analytics. (1)
Review activity for CCF Transactions on High Performance Computing (1)
Review activity for CCF Transactions on High Performance Computing. (1)
Review activity for Concurrency and computation. (2)
Review activity for Cyber-physical systems. (1)
Review activity for ETRI journal. (1)
Review activity for Future generation computer systems. (3)
Review activity for IEEE access : (9)
Review activity for IEEE embedded systems letters. (2)
Review activity for IEEE industrial electronics magazine. (1)
Review activity for IEEE transactions on big data. (4)
Review activity for IEEE transactions on cloud computing. (29)
Review activity for IEEE transactions on computer-aided design of integrated circuits and systems : (2)
Review activity for IEEE transactions on computers. (9)
Review activity for IEEE transactions on dependable and secure computing. (1)
Review activity for IEEE transactions on emerging topics in computing. (8)
Review activity for IEEE transactions on parallel and distributed systems : (84)
Review activity for IEEE transactions on smart grid. (1)
Review activity for IEEE transactions on sustainable computing. (2)
Review activity for IEEE transactions on visualization and computer graphics. (2)
Review activity for Intelligent transportation systems, IEEE transactions on. (1)
Review activity for Interdisciplinary sciences: computational life sciences. (1)
Review activity for Journal of computer science and technology. (1)
Review activity for Scientific programming. (2)
Review activity for Software, practice & experience. (1)
Review activity for The international journal of high performance computing applications (1)
Review activity for The journal of supercomputing. (2)
Review activity for The journal of supercomputing. (2)