148 search results - page 28 / 30 » Exploiting Parallelism for Hard Problems in Abstract Argumen... |
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
ICCAD
2009
IEEE
13 years 5 months ago
2009
IEEE
Multi-core processors have become an integral part of mainstream high performance computer systems. In parallel, exponentially increasing power density and packaging costs have ne...
VLSID
2009
IEEE
14 years 8 months ago
2009
IEEE
Abstract--Digital control for embedded systems often requires low-power, hard real-time computation to satisfy high control-loop bandwidth, low latency, and low-power requirements....
HPCA
2002
IEEE
14 years 7 months ago
2002
IEEE
Clusters of high-end workstations and PCs are currently used in many application domains to perform large-scale computations or as scalable servers for I/O bound tasks. Although c...
DAC
2009
ACM
14 years 8 months ago
2009
ACM
Efficient system-level design is increasingly relying on hierarchical design-space exploration, as well as compositional methods, to shorten time-to-market, leverage design re-use...