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» Speculative Dynamic Vectorization
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110
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CPHYSICS
2007
84views more  CPHYSICS 2007»
15 years 1 months ago
Simulating botulinum neurotoxin with constant pH molecular dynamics in Generalized Born implicit solvent
A new method was proposed by Mongan et al for constant pH molecular dynamics simulation and was implemented in AMBER 8 package. Protonation states are modeled with different char...
Yongzhi Chen, Xin Chen, Yuefan Deng
118
Voted
ISCA
2002
IEEE
103views Hardware» more  ISCA 2002»
15 years 6 months ago
Efficient Dynamic Scheduling Through Tag Elimination
An increasingly large portion of scheduler latency is derived from the monolithic content addressable memory (CAM) arrays accessed during instruction wakeup. The performance of th...
Dan Ernst, Todd M. Austin
MICRO
2000
IEEE
86views Hardware» more  MICRO 2000»
15 years 6 months ago
On pipelining dynamic instruction scheduling logic
A machine’s performance is the product of its IPC (Instructions Per Cycle) and clock frequency. Recently, Palacharla, Jouppi, and Smith [3] warned that the dynamic instruction s...
Jared Stark, Mary D. Brown, Yale N. Patt
ISCA
1998
IEEE
102views Hardware» more  ISCA 1998»
15 years 6 months ago
Dynamic History-length Fitting: A Third Level of Adaptivity for Branch Prediction
Accurate branch prediction is essential for obtaining high performance in pipelined superscalar processors that execute instructions speculatively. Some of the best current predic...
Toni Juan, Sanji Sanjeevan, Juan J. Navarro
ISCA
1993
IEEE
113views Hardware» more  ISCA 1993»
15 years 6 months ago
A Comparison of Dynamic Branch Predictors that Use Two Levels of Branch History
Recent attention to speculative execution as a mechanism for increasing performance of single instruction streams has demanded substantially better branch prediction than what has...
Tse-Yu Yeh, Yale N. Patt