We study the effectiveness of garbage collection (GC) algorithms by measuring the time difference between the actual collection time of an object and the potential earliest collec...
Abstract. The technique of flattening nested data parallelism combines all the independent operations in nested apply-to-all constructs and generates large amounts of potential pa...
Daniel W. Palmer, Jan Prins, Siddhartha Chatterjee...
This paper presents a new functionality of the Automatic Differentiation (AD) Tool tapenade. tapenade generates adjoint codes which are widely used for optimization or inverse prob...
This paper presents an efficient way to construct the self-similarity matrix, a popular approach, to detect repeating segments in music. Our proposed method extends the sparse suf...
Binary Decision Diagrams (BDDs) are widely used in formal verification. They are also widely known for consuming large amounts of memory. For larger problems, a BDD computation wi...