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Previous Projects

LDRD: Holistic Approach to Energy Efficient Computing Architecture

John Shalf (PI) The goal of this project is to develop new technology for energy-efficient computational science. The approach is to take a vertical slice through the space of applications, algorithms, software and hardware to perform a study on how to build the most energy-efficient system to solve a particular computation science problem. The initial target will be climate simulation, and the solution is likely to require higher degrees of parallelism in the climate … Read More »

LDRD: Reference Benchmarks for the Dwarfs

Erich Strohmaier (PI) We are developing a testbed of benchmarks by selecting a representative algorithm for each class of algorithms known as ‘dwarfs.’ To avoid preordaining parallel codes, we are developing pencil and paper description first, and then create realistic, scalable problem descriptions and input datasets to enable experiments from single sockets up to full scale HPC systems. We are also conducting an auto-tuning pilot study for the kernels of some one… Read More »

Other Projects

The Complex Systems Group participated in a number of other projects, most of which are led by researchers in other groups or divisions at LBNL.  Here is a brief list: Computational, data management and analysis methods for the study of a rapidly expanding genome and metagenome sequence data space.  CXG's Buluc is working with computational biologists at LBNL to determine if significant savings in storage and processing times are possible by using a pangenomic representation of… Read More »


HipGISAXS is a massively parallel software for analysis of X-ray scattering data for nanostructure reconstruction. We have developed it in C++, with hybrid parallelism using MPI, Nvidia CUDA, and OpenMP. It is primarily designed for large-scale clusters of multi/many-cores and graphics processors. HipGISAXS currently supports *NIX based systems, and is able to harness computational power from any general-purpose CPUs including state-of-the-art multicores, as well as Nvidia GPUs and Intel MIC coprocessors. HipGISAXS is able to handle large and custom structural morphologies, and perform X-ray scattering simulations at high resolutions. Please visit the HipGISAXS website for details. Read More »