Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
—Power consumption has emerged as the premier and most constraining aspect in modern microprocessor and application-specific designs. Gate sizing has been shown to be one of the...
Foad Dabiri, Ani Nahapetian, Miodrag Potkonjak, Ma...
Modeling and analysis of program behavior are at the foundation of computer system design and optimization. As computer systems become more adaptive, their efficiency increasingly...
Performance loss due to long-latency memory accesses can be reduced by servicing multiple memory accesses concurrently. The notion of generating and servicing long-latency cache m...
Moinuddin K. Qureshi, Daniel N. Lynch, Onur Mutlu,...
This paper introduces a self-configuring architecture for scaling the database tier of dynamic content web servers. We use a unified approach to load and fault management based ...
Gokul Soundararajan, Kaloian Manassiev, Jin Chen, ...