Work

chipStar : Making HIP/CUDA applications cross-vendor portable by building on open standards

Year: 2026

Type: article

Source: The International Journal of High Performance Computing Applications

DOI: 10.1177/10943420261423001

Authors: Paulius Velesko, Pekka Jääskeläinen, Henry Linjamäki, Michal Babej, Peng Tu, Sarbojit Sarkar, Ben Ashbaugh, Colleen Bertoni, Jenny Chen, Philip C. Roth, Wael Elwasif, Rahulkumar Gayatri, Jisheng Zhao, Karol Herbst, Kevin Harms, Brice Videau

Institutions: Tampere University, Intel (United States), Argonne National Laboratory, Purdue University West Lafayette, Oak Ridge National Laboratory, Lawrence Berkeley National Laboratory, National Energy Research Scientific Computing Center, Georgia Institute of Technology, Red Hat (United States)

Language: English

Topic: Parallel Computing and Optimization Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: U.S. Department of Energy

Award: G203625172

OpenAlex ID: W7128907618

FWCI:

Cites: 17

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