Variations in delay caused by within-die and die-to-die process variations and SOI history effect increase timing margins and reduce performance. In order to develop mitigation te...
Jim Aarestad, Charles Lamech, Jim Plusquellic, Dhr...
We present a collaborative, self-configuring high availability (HA) approach for stream processing that enables low-latency failure recovery while incurring small run-time overhea...
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
Parallel bit stream algorithms exploit the SWAR (SIMD within a register) capabilities of commodity processors in high-performance text processing applications such as UTF8 to UTF-...
We have developed an infrastructure for end-to-end run-time monitoring, behavior/performance analysis, and dynamic adaptation of distributed software. This infrastructure is prima...