A set of level 3 basic linear algebra subprograms
ACM Transactions on Mathematical Software (TOMS)
LAPACK: a portable linear algebra library for high-performance computers
Proceedings of the 1990 ACM/IEEE conference on Supercomputing
ScaLAPACK user's guide
Co-array Fortran for parallel programming
ACM SIGPLAN Fortran Forum
LAPACK Users' guide (third ed.)
LAPACK Users' guide (third ed.)
Basic Linear Algebra Subprograms for Fortran Usage
ACM Transactions on Mathematical Software (TOMS)
MPI versus MPI+OpenMP on IBM SP for the NAS benchmarks
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
GNU Autoconf, Automake and Libtool
GNU Autoconf, Automake and Libtool
OpenMP: An Industry-Standard API for Shared-Memory Programming
IEEE Computational Science & Engineering
GPFS: A Shared-Disk File System for Large Computing Clusters
FAST '02 Proceedings of the Conference on File and Storage Technologies
Abstract Yourself With Modules
LISA '96 Proceedings of the 10th USENIX conference on System administration
Parallel netCDF: A High-Performance Scientific I/O Interface
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
A Portable Programming Interface for Performance Evaluation on Modern Processors
International Journal of High Performance Computing Applications
An evaluation of global address space languages: co-array fortran and unified parallel C
Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming
Toward Scalable Performance Visualization with Jumpshot
International Journal of High Performance Computing Applications
UPC: Distributed Shared Memory Programming (Wiley Series on Parallel and Distributed Computing)
UPC: Distributed Shared Memory Programming (Wiley Series on Parallel and Distributed Computing)
PVFS: a parallel file system for linux clusters
ALS'00 Proceedings of the 4th annual Linux Showcase & Conference - Volume 4
The Fortran 2003 Handbook: The Complete Syntax, Features and Procedures
The Fortran 2003 Handbook: The Complete Syntax, Features and Procedures
| Hi-index | 0.00 |
Users of high-performance computing systems face many challenges, particularly as they design and develop their software to run at multiple facilities. This can lead to a â聙聹greatest common denominatorâ聙聺 strategy that slows innovation and the adoption of newer techniques. In addition, these systems typically push the limits â聙聰 leading to problems with reliability and functionality of the system and software. We propose a consortium of HPC centers to collaborate on raising both the capability and the quality of the software for HPC systems.