Views provided by UsageCounts
{"references": ["G. K. Lockwood, W. Yoo, S. Byna, N. J. Wright, S. Snyder, K. Harms, Z. Nault, and P. Carns, \"UMAMI: A Recipe for Generating Meaningful Metrics through Holistic I/O Performance Analysis,\" in Proceedings of the 2nd Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems - PDSW-DISCS '17, 2017, pp. 55\u201360.", "G. K. Lockwood, N. J. Wright, S. Snyder, P. Carns, G. Brown, and K. Harms, \"TOKIO on ClusterStor: Connecting Standard Tools to Enable Holistic I/O Performance Analysis,\" in Proceedings of the 2018 Cray User Group, 2018."]}
The TOKIO Automated Benchmark Collection (TOKIO-ABC) is a software repository containing specific versions of several benchmark applications run daily at the National Energy Research Scientific Computing Center (NERSC) and the Argonne Leadership Computing Facility (ALCF). It also contains build scripts that encode the specific build processes used to generate the test application binaries at both sites as well as all of the exact input parameters used in each daily benchmark test.
benchmarks, hpc, io
benchmarks, hpc, io
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 26 |

Views provided by UsageCounts