0.5.0 general: ========== codes-base and codes-net have been combined into a single project (now at https://xgitlab.cels.anl.gov/codes/codes). updated to ROSS revision d9cef53. fixed a large number of warnings across the codebase. networks: ========== addition of the SlimFly network topology, corresponding to the Wolfe et al. paper "Modeling a Million-node Slim Fly Network using Parallel Discrete-event Simulation", to appear at SIGSIM-PADS'16. See README.slimfly.txt (src/networks/model-net/doc). modelnet now supports sampling at regular intervals. Dragonfly LPs can currently make use of this - others can be added based on demand. See (src/network-workloads/README_synthetic.txt). allow 0-byte messages in model-net. enable "local" model-net messages (for LPs sharing the same model-net endpoint - approximates a zero-copy ownership pass of the payload) the model_net_event family of functions now return a token value which must be passed to model_net_event_rc2. workloads: ========== concurrent workload support added to workload generators and the MPI simulation layer. See codes-jobmap.h and the modified codes-workload.h. Thanks to Xu Yang for the partial contributions. Not all workload generators support concurrent workloads at this time. scripts for generating job allocations specific to the torus and dragonfly topologies. See scripts/allocation_gen. Thanks to Xu Yang for the contributions. multiple fixes to the MPI simulation layer and DUMPI workload generator. concurrent workload support and more flexible rank mappings in the MPI simulation layer. Thanks to Xu Yang for the initial code. removed scalatrace workload generator, which never made it to a usable state. a new checkpoint IO workload generator has been added, based on the Daly paper "A higher order estimate of the optimum checkpoint interval for restart dumps" at Future Generation Computing Systems 2004. See README.codes-workload (src/workload). utilities: ========== fixes to rc-stack - memory no longer leaks in sequential mode, and optimistic debug mode is now supported. added a more performance-sensitive function, codes_mapping_get_lp_info2, to codes-mapping (passes const pointers around instead of copying strings) added a "mapping context" API for better controlling implicit LP-LP mappings, including modelnet, local storage model, and resource. See codes/codes-mapping-context.h and added functions in the mentioned LPs for details. formalized a callback mechanism for CODES, replacing previous ad-hoc methods of passing control from LPs to arbitrary other LPs. The request and local storage model LP APIs have been changed to use this mechanism, and model-net has additional APIs to use user-provided mapping contexts. See codes/codes-callback.h for the API and tests/resource-test.c for advanced usage. deprecations: ========== model_net_event_rc (use model_net_event_rc2, which will eventually be renamed to model_net_event_rc) codes_event_new (define your own bounds-checking macro if need be) 0.4.0 codes-base general: ========== significant source reorganization / refactoring refactor some private headers out of the public eye dead code removal documentation: ========== improved example_heterogeneous example program added configuration to example_heterogeneous showing two torus networks reorganized files to prevent name collisions on OSX. Top-level docs other than copyright now in doc directory additions to best practice document configurator: ========== more stable file format for configurator output ignore unrelated parameters passed into filter_configs handle empty cfields in configurator workloads: ========== combined network and IO workload APIs into a single one adding dumpi workload support in codes-workload-dump utility workload dump utility option cleanup renamed "bgp" workload generator to "iolang", significant cleanups put network workload ops in workload dump util removing one of the dumpi libraries from the build. It was generating some unwanted dumpi files. network workload API more fleshed out utilities: ========== configuration bug fixes for larger LP type counts resource LP annotation mapping hooks local storage model API switch to use annotations better configuration error handling hedge against precision loss in codes_local_latency (see codes.h) use a different RNG than default for codes_local_latency - prevents addition/removal of codes_local_latency calls from poisoning RNG stream of calling model added simple GVT-aware stack with garbage collection (see rc-stack.h) codes-net general: ========== cleanup of much of the code base more informative error for failure to find modelnet lps removed redundant include directory on install (was 'install/codes/codes/*.h') documentation: ========== reorganized files to prevent name collisions on OSX. Top-level docs other than copyright now in doc directory updated code documentation fix linker error in certain cases with codes-base tweaked config error handling networks: ========== fix to loggp latency calculation when using "receive queue" made torus lps agnostic to groups and aware of annotations miscellaneous fixes to dragonfly model updates to simplep2p: support for having different latency/bw at sender & receiver end. See src/models/networks/model-net/doc/README.simplep2p.txt minor fixes to usage of quickhash in replay tool fixed RNG reverse computation bug in loggp fixed swapped arguments in round-robin scheduler causing short circuit workloads: ========== minor changes to dumpi trace config files resolving minor bug with reverse computation in dumpi traces Updating network trace code to use the combined workload API Adding synthetic traffic patterns (currently with dragonfly model) Adding network workload test program for debugging Updating MPI wait/wait_all code in replay tool 0.3.0 codes-base Initial "official" release. Against previous repository revisions, this release includes more complete documentation. codes-net Initial "official" release. Against previous repository revisions, this release includes more complete documentation and a rename of the "simplewan" model to the "simplep2p" (simple point-to-point) model to more accurately represent what it's modeling.