Name
Abstract | ||
|---|---|---|
High Performance Linpack can maximize requirements throughout a computer system. An efficient multi-GPU double-precision general matrix multiply (DGEMM), together with adjustments to the HPL, is required to utilize a heterogeneous computer to its full extent. The authors present the resulting energy-efficiency measurements and suggest a cluster design that can utilize multiple GPUs. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/MM.2011.66 | Micro, IEEE |
Keywords | Field | DocType |
mathematics computing,multiprocessing systems,double-precision general matrix multiply,energy-efficient clusters,high performance Linpack,high-performance computing,multiGPU DGEMM,DGEMM,GPGPU,Green IT,HPL,High Performance Linpack,double-precision general matrix multiply,heterogeneous (hybrid) systems,multi-GPU,system architecture | Cluster (physics),Green computing,Efficient energy use,Computer science,Parallel computing,Computational science,General-purpose computing on graphics processing units,Systems architecture,Graphics processing unit,Matrix multiplication,Basic Linear Algebra Subprograms | Journal |
Volume | Issue | ISSN |
31 | 5 | 0272-1732 |
Citations | PageRank | References |
3 | 0.48 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Rohr | 1 | 24 | 2.94 |
| Matthias Bach | 2 | 39 | 3.38 |
| Matthias Kretz | 3 | 3 | 0.48 |
| v lindenstruth | 4 | 13 | 5.62 |