A cluster for CS education in the manycore era
Calvin College, Grand Rapids, MI, USA
Proceedings of the 42nd ACM technical symposium on Computer science education SIGCSE ’11, 2011
Traditional Beowulf clusters have been homogeneous platforms for distributed-memory MIMD parallelism. However, the shift to multicore architectures has made shared-memory MIMD parallelism increasingly important, and inexpensive manycore GPGPUs have revived SIMD parallelism. This paper presents a case study in designing and building a heterogeneous cluster as a learning platform for tera-scale distributed- and shared-memory MIMD parallelism, and GPGPU parallelism.
August 19, 2011 by hgpu
