Hard-to-predict branches depending on longlatency cache-misses have been recognized as a major performance obstacle for modern microprocessors. With the widening speed gap between...
Hongliang Gao, Yi Ma, Martin Dimitrov, Huiyang Zho...
Canonical correlation analysis (CCA) is a powerful tool for analyzing multi-dimensional paired data. However, CCA tends to perform poorly when the number of paired samples is limit...
Conversion of the flip-flops of the circuit into scan cells helps ease the test challenge; yet test application time is increased as serial shift operations are employed. Furthe...
In this paper we experimentally investigate if optimal retry times can be determined based on models that assume independence of successive tries. We do this using data obtained fo...
Philipp Reinecke, Aad P. A. van Moorsel, Katinka W...
The energy scaling laws of multihop data fusion networks for distributed inference are considered. The fusion network consists of randomly located sensors independently distributed...
Animashree Anandkumar, Joseph E. Yukich, Lang Tong...