In order for collective communication routines to achieve high performance on different platforms, they must be able to adapt to the system architecture and use different algorithms for different situations. Current Message Passing Interface (MPI) ...

The non-uniform memory access times of modern cc-NUMA systems often impair performance for shared memory applications. This is especially true for applications exhibiting complex access patterns. To improve performance, a mechanism for co-locating ...

Excessive power consumption is becoming a major barrier to extracting the maximum performance from high-performance parallel systems. Therefore, techniques oriented towards reducing power consumption of such systems are expected to become increasingly ...

BlueGene/L is currently the world's fastest supercomputer. It consists of a large number of low power dual-processor compute nodes interconnected by high speed torus and collective networks, Because compute nodes do not have shared memory, MPI is the ...

Finding nearly optimal optimization settings for modern compilers which can utilize a large number of optimizations is a combinatorially exponential problem. In this paper, we investigate whether in the presence of many optimization choices random ...

Previous studies have shown that array regrouping and structure splitting significantly improve data locality. The most effective technique relies on profiling every access to every data element. The high overhead impedes its adoption in a general ...

OpenMP is becoming the standard programming model for shared-memory parallel architectures. One of its most interesting features in the language is the support for nested parallelism. Previous research and parallelization experiences have shown the ...

High-end computing increasingly relies on shared-memory multiprocessors (SMPs), such as clusters of SMPs, nodes of chip-multiprocessors (CMP) or large-scale single-system image (SSI) SMPs. In such systems, performance is often affected by the sharing ...