TY - GEN
T1 - Performance analysis techniques for the exascale co-design process
AU - Schulz, Martin
AU - Belak, Jim
AU - Bhatele, Abhinav
AU - Bremer, Peer Timo
AU - Bronevetsky, Greg
AU - Casas, Marc
AU - Gamblin, Todd
AU - Isaacs, Katherine E.
AU - Laguna, Ignacio
AU - Levine, Joshua
AU - Pascucci, Valerio
AU - Richards, David
AU - Rountree, Barry
PY - 2014
Y1 - 2014
N2 - Efficient and effective performance analysis techniques are critical for the development of future generation systems. They are the drivers behind the required co-design process that helps establish the principles needed for their design. In this paper, we will highlight two such approaches: PAVE, a project that investigates mapping of performance data to more intuitive domains and uses advanced visualization techniques to expose problems, and GREMLIN, a system evaluation environment capable of emulating expected properties of exascale architectures on petascale machines. Combined with other approaches in system modeling and simulation, these projects enable us to provide a meaningful introspection into a target application's characteristics as well as its expected behavior and, more importantly, likely bottlenecks on future generation machines.
AB - Efficient and effective performance analysis techniques are critical for the development of future generation systems. They are the drivers behind the required co-design process that helps establish the principles needed for their design. In this paper, we will highlight two such approaches: PAVE, a project that investigates mapping of performance data to more intuitive domains and uses advanced visualization techniques to expose problems, and GREMLIN, a system evaluation environment capable of emulating expected properties of exascale architectures on petascale machines. Combined with other approaches in system modeling and simulation, these projects enable us to provide a meaningful introspection into a target application's characteristics as well as its expected behavior and, more importantly, likely bottlenecks on future generation machines.
KW - Architecture Emulation
KW - Co-Design
KW - Performance Analysis
KW - Performance Visualization
UR - http://www.scopus.com/inward/record.url?scp=84902290240&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84902290240&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-381-0-19
DO - 10.3233/978-1-61499-381-0-19
M3 - Conference contribution
AN - SCOPUS:84902290240
SN - 9781614993803
T3 - Advances in Parallel Computing
SP - 19
EP - 32
BT - Parallel Computing
PB - IOS Press BV
ER -