Designing efficient algorithms for parallel computers
Designing efficient algorithms for parallel computers
Introduction to Parallel & Vector Solution of Linear Systems
Introduction to Parallel & Vector Solution of Linear Systems
A training program for scientific supercomputing users
Proceedings of the 1988 ACM/IEEE conference on Supercomputing
Computer architecture: a quantitative approach
Computer architecture: a quantitative approach
The SCHEDULE parallel programming package with recycling job queues and iterated dependency graphs
Concurrency: Practice and Experience
A real introduction to supercomputing: a user training course
Proceedings of the 1990 ACM/IEEE conference on Supercomputing
Scientific computing: an introduction with parallel computing
Scientific computing: an introduction with parallel computing
An introduction to high-performance scientific computing
An introduction to high-performance scientific computing
Parallel programming: techniques and applications using networked workstations and parallel computers
High Performance Cluster Computing: Programming and Applications
High Performance Cluster Computing: Programming and Applications
Optimizing Supercompilers for Supercomputers
Optimizing Supercompilers for Supercomputers
Advanced Computer Architecture: Parallelism,Scalability,Programmability
Advanced Computer Architecture: Parallelism,Scalability,Programmability
Numerical Linear Algebra for High Performance Computers
Numerical Linear Algebra for High Performance Computers
A Guidebook to FORTRAN on Supercomputers
A Guidebook to FORTRAN on Supercomputers
A Case for NOW (Networks of Workstations)
IEEE Micro
Cluster Computing in the Classroom: Topics, Guidelines, and Experiences
CCGRID '01 Proceedings of the 1st International Symposium on Cluster Computing and the Grid
A state-wide senior parallel programming course
IEEE Transactions on Education
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Local training for high performance computing using remote national supercomputing centers is quite different from training at the centers themselves or using local machines. The local site computing and communication resources are a fraction of those available at the national centers. However, training at the local site has the potential of training more computational science and engineering students in high performance computing by including those who are unable to travel to the national center for training. The experience gained from supercomputing courses and workshops in the last 17 years at the University of Illinois at Chicago is described. These courses serve as the kernel in the program for training computational science and engineering students. Many training techniques are illustrated, such as key local user's guides and starter problems that would be portable to other local sites. Training techniques are continually evolving to keep up with rapid changes in supercomputing. An essential feature of this program is the use of real supercomputer time on several supercomputer platforms at national centers with emphasis in solving large scale problems.