TY - GEN
T1 - Power monitoring with PAPI for extreme scale architectures and dataflow-based programming models
AU - Mccraw, Heike
AU - Ralph, James
AU - Danalis, Anthony
AU - Dongarra, Jack
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/26
Y1 - 2014/11/26
N2 - For more than a decade, the PAPI performance-monitoring library has provided a clear, portable interface to the hardware performance counters available on all modern CPUs and other components of interest (e.g., GPUs, network, and I/O systems). Most major end-user tools that application developers use to analyze the performance of their applications rely on PAPI to gain access to these performance counters.
AB - For more than a decade, the PAPI performance-monitoring library has provided a clear, portable interface to the hardware performance counters available on all modern CPUs and other components of interest (e.g., GPUs, network, and I/O systems). Most major end-user tools that application developers use to analyze the performance of their applications rely on PAPI to gain access to these performance counters.
UR - http://www.scopus.com/inward/record.url?scp=84917691454&partnerID=8YFLogxK
U2 - 10.1109/CLUSTER.2014.6968672
DO - 10.1109/CLUSTER.2014.6968672
M3 - Conference contribution
AN - SCOPUS:84917691454
T3 - 2014 IEEE International Conference on Cluster Computing, CLUSTER 2014
SP - 385
EP - 391
BT - 2014 IEEE International Conference on Cluster Computing, CLUSTER 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE International Conference on Cluster Computing, CLUSTER 2014
Y2 - 22 September 2014 through 26 September 2014
ER -