Aiming at the current problems that most physical hosts in the cloud data center are so
overloaded that it makes the whole cloud data center'load imbalanced and that existing load …

This paper describes a heterogeneous computer cluster called Axel. Axel contains a
collection of nodes; each node can include multiple types of accelerators such as FPGAs …

While High-Performance Computing is ever more pervasive and effective, computing
capability is currently only a small fraction of what is needed. Three fundamental issues …

We present the initial results from the FHPCA Supercomputer project at the University of
Edinburgh. The project has successfully built a general-purpose 64 FPGA computer and …

The implementation of Molecular Dynamics (MD) on FPGAs has received substantial
attention. Previous work, however, has consisted of either proof-of-concept implementations …

MapReduce, originally developed by Google for search applications, has recently become a
popular programming framework for parallel and distributed environments. This paper …

MPI collective operations can often be performance killers in HPC applications; we seek to
solve this bottleneck by offloading them to reconfigurable hardware within the switch itself …

High performance computing (HPC) systems currently integrate several resources such as
multi-cores (CPUs), graphic processing units (GPUs) and reconfigurable logic devices, like …

FPGAs have emerged as a cost-effective accelerator alternative in clouds and clusters.
Programmability remains a challenge, however, with OpenCL being generally recognized …

In recent years, the most powerful supercomputers have already reached megawatt power
consumption levels, an important issue that challenges sustainability and shows the …