Understanding the structure of large existing (and evolving) software systems is a major challenge for software engineers. In reverse engineering, we aim to compute, for a given s...
Bioinformatics algorithms such as sequence alignment methods based on profile-HMM (Hidden Markov Model) are popular but CPU-intensive. If large amounts of data are processed, a s...
Heinz Stockinger, Marco Pagni, Lorenzo Cerutti, La...
Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic program...
—The increasing performance and decreasing cost of processors and memory are causing system intelligence to move from the CPU to peripherals such as disk drives. Storage system d...
Tina Miriam John, Anuradharthi Thiruvenkata Ramani...
Commodity accelerator technologies including reconfigurable devices provide an order of magnitude performance improvement compared to mainstream microprocessor systems. A number o...
Sadaf R. Alam, Jeffrey S. Vetter, Melissa C. Smith