The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
As the last-level on-chip caches in chip-multiprocessors increase in size, the physical locality of on-chip data becomes important for delivering high performance. The non-uniform...
Modern out-of-order processors tolerate long latency memory operations by supporting a large number of inflight instructions. This is particularly useful in numerical applications...
Java-based middleware, and application servers in particular, are rapidly gaining importance as a new class of workload for commercial multiprocessor servers. SPEC has recognized ...
Martin Karlsson, Kevin E. Moore, Erik Hagersten, D...
Inherent within complex instruction set architectures such as x86 are inefficiencies that do not exist in a simpler ISAs. Modern x86 implementations decode instructions into one o...
Brian Slechta, David Crowe, Brian Fahs, Michael Fe...