Author Archives: carns

CODES 0.4.1 has been released! This is a hotfix release that fixes an incompatibility with recent ROSS revisions. The new version can be found at http://www.mcs.anl.gov/research/projects/codes/downloads/ .

The slides for (most of) the Summer of CODES 2015 talks have been made available. Check them out over at http://press3.mcs.anl.gov/summerofcodes2015/workshop-proceedings/.

Thanks to all that attended the Summer of CODES 2015 Workshop! We had a strong first showing and a full schedule of engaging talks. We will post slides onto the workshop website (http://press3.mcs.anl.gov/summerofcodes2015/) in the coming days.

CODES 0.4.0 has been released! You can find the release here. Notable in this release include a large cleanup/refactoring of the codebase, improvements to error handling, numerous bugfixes, and improved documentation. Additionally, the workload generator API for IO and networking … Continue reading →

CODES 0.3.0 is released! This marks the first formal release of the codes-base and codes-net projects. You can find the release on the download page. Against recent repository revisions, this release includes more complete and cleaned up documentation.

Chris Carothers presented “Combining Aspen with massively parallel simulation for effective exascale co-design” at the 2013 Workshop on Modeling & Simulation of Exascale Systems & Applications on September 18, 2013. It proposes leveraging a formal performance modeling language in conjunction … Continue reading →

Lawrence Livermore National Laboratory has announced that the ROSS simulation toolkit achieved a record-breaking simulation speed of 504 billion events per second on LLNL’s Sequoia Blue Gene/Q supercomputer. The work will be presented in “Warp Speed: Executing Time Warp on … Continue reading →

Misbah Mubarak presented “Modeling a million-node dragonfly network using massively parallel discrete-event simulation” at the 2012 Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems (PMBS12).  It demonstrates how a dragonfly network with up to 50 million … Continue reading →

The goal of the CODES project is use highly parallel simulation to explore the design of exascale storage architectures and distributed data-intensive science facilities. Increasingly, science endeavors rely heavily on data management, analysis, and storage as part of the discovery … Continue reading →