Behavioral synthesis tools have made significant progress in compiling high-level programs into register-transfer level (RTL) specifications. But manually rewriting code is still ...
We present the Data Parallel Fortran (DPF) benchmark suite, a set of data parallel Fortran codes forevaluatingdata parallel compilers appropriatefor any target parallel architectu...
Y. Charlie Hu, S. Lennart Johnsson, Dimitris Kehag...
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Collecting large consistent data sets for real world software projects is problematic. Therefore, we explore how little data are required before the predictor performance plateaus...
Determination of data dependences is a task typically performed with high-level language source code in today's optimizing and parallelizing compilers. Very little work has b...
Wolfram Amme, Peter Braun, Eberhard Zehendner, Fra...