5 projects tagged "HPC"
Updated 16 Dec 2010
OpenMPF
| Pop | 21.73 |
|---|---|
| Vit | 29.77 |
OpenMPF is a library for solving large, dense, multi-RHS linear systems. It is based on MPI/openMP parallelism, and relies on BLAS/LAPACK/MUMPS for the single node computations. It implements direct and iterative solvers, out-of-core matrices and vectors, and is easily accessible through a Python interface.
Updated 25 Sep 2012
Strategico
| Pop | 185.92 |
|---|---|
| Vit | 6.09 |
Strategico is an engine for running statistical analysis over groups of time series. It can manage one or more groups (projects) of time series: by default, you can get data from a database or CSV files, normalize them, and then save them inside the engine. The first statistical analysis implemented inside Strategico is the "Long Term Prediction": it automatically finds the best model that fits each time series. Some of the models implemented are mean, trend, linear, exponential smoothing, and Arima. Strategico is scalable: the statistical analysis over each time series (of a project) can be run separately and independently. It is suggested that you set up an HPC Cluster (High Performance Computing) and/or use a resource scheduler like slurm. It is developed with R, one of the most famous statistical languages.
Updated 14 May 2013
VCL
| Pop | 246.26 |
|---|---|
| Vit | 26.05 |
The VirtualCL (VCL) cluster platform is a wrapper for OpenCL that allows most unmodified applications to transparently utilize many OpenCL devices in a cluster as if all the devices are on the local computer.
Updated 03 Nov 2012
Wisecracker
| Pop | 50.99 |
|---|---|
| Vit | 1.00 |
Wisecracker is a high performance distributed cryptanalysis framework that leverages GPUs and multiple CPUs. It allows security researchers to write their own cryptanalysis tools that can distribute brute-force cryptanalysis work across multiple systems with multiple multi-core processors and GPUs. Security researchers can also use the sample tools provided out-of-the-box. The differentiating aspect of Wisecracker is that it uses OpenCL and MPI together to distribute the work across multiple systems, each having multiple CPUs and/or GPUs.
Updated 08 Apr 2013
LavaFlow
| Pop | 30.28 |
|---|---|
| Vit | 6.50 |
LavaFlow creates useful reports on the usage of high-performance computing clusters. It takes data from the batch scheduling system, monitoring, and other tooling, and creates reports which help administrators, managers, and end users better understand their cluster environment. The reports are modular, and new modules are easy to create using templates and Django's query set API. LavaFlow uses human-readable RESTful URLs, making it easy to automate and share links to reports.
