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IPPS
1998
IEEE
15 years 4 months ago
Optimizing Data Scheduling on Processor-in-Memory Arrays
In the study of PetaFlop project, Processor-In-Memory array was proposed to be a target architecture in achieving 1015 floating point operations per second computing performance. ...
Yi Tian, Edwin Hsing-Mean Sha, Chantana Chantrapor...
POPL
2007
ACM
16 years 27 days ago
Locality approximation using time
Reuse distance (i.e. LRU stack distance) precisely characterizes program locality and has been a basic tool for memory system research since the 1970s. However, the high cost of m...
Xipeng Shen, Jonathan Shaw, Brian Meeker, Chen Din...
111
Voted
DAC
2006
ACM
15 years 6 months ago
A fast on-chip decoupling capacitance budgeting algorithm using macromodeling and linear programming
We propose a novel and efficient charge-based decoupling capacitance budgeting algorithm. Our method uses the macromodeling technique and effective radius of decoupling capacitan...
Min Zhao, Rajendran Panda, Savithri Sundareswaran,...
130
Voted
GECCO
2000
Springer
168views Optimization» more  GECCO 2000»
15 years 4 months ago
A Fault-tolerant Multicast Routing Algorithm in ATM Networks
This paper presents a genetic algorithm based method to solve the capacity and routing assignment problem arising in the design of selfhealing networks using the Virtual Path (VP)...
Sam Kwong, S. S. Chan
116
Voted
NIPS
1993
15 years 1 months ago
Optimal Stochastic Search and Adaptive Momentum
Stochastic optimization algorithms typically use learning rate schedules that behave asymptotically as (t) = 0=t. The ensemble dynamics (Leen and Moody, 1993) for such algorithms ...
Todd K. Leen, Genevieve B. Orr