Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject’s behavior during a scanning se...
Caches are notorious for their unpredictability. It is difficult or even impossible to predict if a memory access results in a definite cache hit or miss. This unpredictability i...
This paper describes a scalable, low-complexity alternative to the conventional load/store queue (LSQ) for superscalar processors that execute load and store instructions speculat...
Data prefetching effectively reduces the negative effects of long load latencies on the performance of modern processors. Hardware prefetchers employ hardware structures to predic...
Jamison D. Collins, Suleyman Sair, Brad Calder, De...