Workshop on Software Development Tools for Petascale Computing
Conference
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OSTI ID:1367254
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Georgia Inst. of Technology, Atlanta, GA (United States)
Petascale computing systems will soon be available to the DOE science community. Recent studies in the productivity of HPC platforms point to better software environments as a key enabler to science on these systems. To prepare for the deployment and productive use of these petascale platforms, the DOE science and general HPC community must have the software development tools, such as performance analyzers and debuggers that meet application requirements for scalability, functionality, reliability, and ease of use. In this report, we identify and prioritize the research opportunities in the area of software development tools for high performance computing. To facilitate this effort, DOE hosted a group of 55 leading international experts in this area at the Software Development Tools for PetaScale Computing (SDTPC) Workshop, which was held in Washington, D.C. on August 1 and 2, 2007. Software development tools serve as an important interface between the application teams and the target HPC architectures. Broadly speaking, these roles can be decomposed into three categories: performance tools, correctness tools, and development environments. Accordingly, this SDTPC report has four technical thrusts: performance tools, correctness tools, development environment infrastructures, and scalable tool infrastructures. The last thrust primarily targets tool developers per se, rather than end users. Finally, this report identifies non-technical strategic challenges that impact most tool development. The organizing committee emphasizes that many critical areas are outside the scope of this charter; these important areas include system software, compilers, and I/O.
- Research Organization:
- USDOE Office of Science (SC), Washington, DC (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
- OSTI ID:
- 1367254
- Country of Publication:
- United States
- Language:
- English
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