Processing and analyzing large volumes of data plays an increasingly important role in many domains of scienti c research. High-level language and compiler support for developing ...
Abstract. We present a relational algebra based framework for compiling e cient sparse matrix code from dense DO-ANY loops and a speci cation of the representation of the sparse ma...
Divide and conquer algorithms are a good match for modern parallel machines: they tend to have large amounts of inherent parallelism and they work well with caches and deep memory...
The last years have shown that there is no way to disregard the advantages provided by multiprocessor System-on-Chip (MPSoC) architectures in the embedded systems domain. Using mu...
Tiling, a key transformation for optimizing programs, has been widely studied in literature. Parameterized tiled code is important for auto-tuning systems since they often execute...
Muthu Manikandan Baskaran, Albert Hartono, Sanket ...