Analyzing data to find trends, correlations, and stable patterns is an important task in many industrial applications. This paper proposes a new technique based on parallel coordi...
Kaidi Zhao, Bing Liu, Thomas M. Tirpak, Andreas Sc...
Continuing improvements in CPU and GPU performances as well as increasing multi-core processor and cluster-based parallelism demand for flexible and scalable parallel rendering sol...
Understanding the potential and implications of asymmetric multi-core processors for cluster computing is necessary, as these processors are rapidly becoming mainstream components...
Filip Blagojevic, Matthew Curtis-Maury, Jae-Seung ...
Dynamic memory management is one of the most expensive but ubiquitous operations in many C/C++ applications. Additional features such as security checks, while desirable, further w...
Devesh Tiwari, Sanghoon Lee, James Tuck, Yan Solih...
Despite the explosive new interest in Distributed Computing, bringing software — particularly legacy software — to parallel platforms remains a daunting task. The Self Distrib...
Bernd Klauer, Frank Eschmann, Ronald Moore, Klaus ...