Abstract
Sustaining processor performance growth is challenged by physical limitations due to increased power and heat dissipations. Power and thermal management techniques combined with inherent workload dynamics create the spatiotemporal variations of power, temperature, and degradation in processors. As industry moves to smaller feature sizes, the performance will become increasingly dominated by the physics. The challenge is in understanding how the physics is manifested at the microarchitecture level. This requires the modeling and simulation environment that can capture multiple, distinct physical phenomena and their concurrent impact on the microarchitecture.
| Original language | English |
|---|---|
| Title of host publication | ISPASS 2014 - IEEE International Symposium on Performance Analysis of Systems and Software |
| Publisher | IEEE Computer Society |
| Pages | 143-144 |
| Number of pages | 2 |
| ISBN (Print) | 9781479936052 |
| DOIs | |
| Publication status | Published - 2014 Jan 1 |
| Event | 2014 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2014 - Monterey, CA, United States Duration: 2014 Mar 23 → 2014 Mar 25 |
Other
| Other | 2014 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2014 |
|---|---|
| Country | United States |
| City | Monterey, CA |
| Period | 14/3/23 → 14/3/25 |
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All Science Journal Classification (ASJC) codes
- Software
Cite this
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Energy Introspector : A parallel, composable framework for integrated power-reliability-thermal modeling for multicore architectures. / Song, William Jinho; Mukhopadhyay, Saibal; Yalamanchili, Sudhakar.
ISPASS 2014 - IEEE International Symposium on Performance Analysis of Systems and Software. IEEE Computer Society, 2014. p. 143-144 6844476.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Energy Introspector
T2 - A parallel, composable framework for integrated power-reliability-thermal modeling for multicore architectures
AU - Song, William Jinho
AU - Mukhopadhyay, Saibal
AU - Yalamanchili, Sudhakar
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Sustaining processor performance growth is challenged by physical limitations due to increased power and heat dissipations. Power and thermal management techniques combined with inherent workload dynamics create the spatiotemporal variations of power, temperature, and degradation in processors. As industry moves to smaller feature sizes, the performance will become increasingly dominated by the physics. The challenge is in understanding how the physics is manifested at the microarchitecture level. This requires the modeling and simulation environment that can capture multiple, distinct physical phenomena and their concurrent impact on the microarchitecture.
AB - Sustaining processor performance growth is challenged by physical limitations due to increased power and heat dissipations. Power and thermal management techniques combined with inherent workload dynamics create the spatiotemporal variations of power, temperature, and degradation in processors. As industry moves to smaller feature sizes, the performance will become increasingly dominated by the physics. The challenge is in understanding how the physics is manifested at the microarchitecture level. This requires the modeling and simulation environment that can capture multiple, distinct physical phenomena and their concurrent impact on the microarchitecture.
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UR - http://www.scopus.com/inward/citedby.url?scp=84904458664&partnerID=8YFLogxK
U2 - 10.1109/ISPASS.2014.6844476
DO - 10.1109/ISPASS.2014.6844476
M3 - Conference contribution
SN - 9781479936052
SP - 143
EP - 144
BT - ISPASS 2014 - IEEE International Symposium on Performance Analysis of Systems and Software
PB - IEEE Computer Society
ER -