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  1. Apr 14, 2020
    • Harmen Stoppels's avatar
      CI on Daint via Sarus (#1006) · d60e2937
      Harmen Stoppels authored
      * Add Dockerfiles for MPI + CUDA test builds on Daint
      * Add bors.toml for CI on Daint
      * Add the separate ci repo as submodule for convenience
      * Add a CI badge for master to the top of the readme
  2. Feb 26, 2019
    • akuesters's avatar
      Python PR #667 (#668) · fa549238
      akuesters authored and Benjamin Cumming's avatar Benjamin Cumming committed
      First step towards the Python front end.
      
      This commit sets up the structure of the python implementation
      * directory structure
      * git submodule for pybind11
      * best practices for making bindings with pybind11
      * unit testing for the python front end
      
      It implements the following features in the Python front end
      * execution contexts
      * gpu detection
      * thread count detection
      * MPI initialization helpers.
      
      Fixes #667.
      fa549238
  3. Jul 24, 2018
    • noraabiakar's avatar
      task_system as part of an execution_context (#537) · 7a6c1031
      noraabiakar authored and Benjamin Cumming's avatar Benjamin Cumming committed
      - Task system is no longer a single system private to the implementation of the threading backend and used everywhere. A separate task_system can be used (with a specified number of threads) for every simulation.
      - arb::execution_context is the interface to task_system  and the previously defined distributed_context
      - TBB and serial support has been removed. Cthreads is the only threading backend available. 
      7a6c1031
  4. Jun 25, 2018
    • Sam Yates's avatar
      Feature/lib install target part i (#506) · ad1c78ab
      Sam Yates authored and Benjamin Cumming's avatar Benjamin Cumming committed
      CMake and build refactoring
      
      *   Use CUDA as first-class language (leading to CMake 3.9 minimum version requirement).
      
      *   Use 'modern CMake' interface libraries for compiler options, include file and library dependency tracking. Interface library targets:
          * `arbor-deps`: compiler options and library requirements for the `libarbor.a` static library, as governed by configure-time options and environment.
          * `arbor-private-headers`: include path for non-installed headers, as required by unit tests and arbor itself.
          * `arbor-aux`: helper classes and utilities used across tests and examples.
          * `ext-json`, `ext-tclap`, `ext-tbb`, `ext-benchmark`, `ext-sphinx_rtd_theme`: externally maintained software that we include (directly or via submodule) in the `ext/` subdirectory.
       
      *   Single static library `libarbor.a` includes all built-in modules and CUDA objects.
      
      *   Simply configuration options:
          *  `ARB_WITH_TRACE`, `ARB_AUTORUN_MODCC_ON_CHANGES` `ARB_SYSTEM_TYPE` removed.
          * External `modcc` is provided by `ARB_MODCC` configuration option; if provided `modcc` is still buildable, but is not included in the default target.
          * `ARB_PRIVATE_TBBLIB`, defaulting to `OFF`, instructs the build to make TBB from the included submodule.
      
      *   Extend `ErrorTarget` functionality to provide a dummy target or an error target based on a condition.
      *   Generate header version defines and library version variables based on git status and project version, via new script `include/git-source-id`.
      *   All generated binaries now placed in `bin/` subdirectory at build.
      *   Install targets installs: public headers (incomplete); static library; `modcc` tool; `lmorpho` executable; `html` documentation (examples, tests and validation data are currently not installed).
      *   Executable targets have had the `.exe` suffix removed; unit tests are labelled `unit` (arbor unit tests), `unit-modcc` (modcc unit tests), `unit-local` (distributed tests with local context), `unit-mpi` (distributed tests with MPI context).
      *   More graceful handling of configure-time detection of `nrniv`, Julia and required Julia modules for validation data generation.
      *   Add `cmake/FindJulia.cmake`, `cmake/FindTBB.cmake`  package finders, and adjust `cmake/FindUnwind.cmake` to use link library-style properties.
      *  Adjust travis script to test `unit-local` and `unit-mpi` if appropriate.
      *  Simply documentation `conf.py`.
      
      Source relocation and reorganization
      
      * All external project sources and files moved to `ext/`.
      * Source code refactoring to decouple library-using code from the configure-time definitions that govern arbor behaviour: removes conditional code in public headers that depends upon `ARB_WITH_X`-type definitions at compile time. Affected code is is in the public interfaces for MPI, the threading implementation, and the profiler.
      * Remove `util/debug.hpp`; split out functionality for pretty-printing from assertion handling.
      * Make FVM cell non-physical voltage check a run-time cell-group parameter.
      * Move spike double buffer implementation to `simulation.cpp`.
      * Make timer utility wrap POSIX `clock_gettime` independent of threading configuration.
      * Make `mpi_error` derive from `system_error` and follow C++11 `system_error` semantics.
      * `EXPECTS` macro replaced by `arb_assert` macro.
      * JSON dependency removed from `libarbor.a` and header files: moved to auxiliary library.
      * Publicly visible macros garner an `ARB_` prefix as required.
      * Move SWC test file to `test/unit` directory.
      * Work-in-progress splitting of public from private includes: as a convention not entirely adhered to as yet, private headers within arbor source are included with `""`, public headers with `<>`.
      
      Modcc interface changes
      
      * Expose via `--namespace` option the functionality that sets the namespace in generated code.
      * Use `--profile` option to add profiler hooks to generated code; uses public function interface directly rather than `PE/PL` macros in order to avoid public `PE` and `PL` defines.
      ad1c78ab
  5. Mar 15, 2018
    • Ben Cumming's avatar
      Improve TBB vs. CMake (#451) · 459d6562
      Ben Cumming authored
      This replaces the CMake templates provided by TBB with a much more sane alternative!
      
      The TBB CMake templates had a very strange workflow, that involved downloading the TBB source and compiling it, which made it impossible to configure the TBB build, and caused problems on systems without connection to the internet.
      
      We replace this with a fork of the TBB repository maintained by Github user @wjakob:
      https://github.com/wjakob/tbb
      This fork provides a sane CMakeLists.txt that can be configured from our CMake setup.
      It is added as a git submodule, so it can be downloaded with the rest of the repository, hence not requiring connection to the internet during CMake configuration.
      
      It could be extended to use a user-provided build of TBB to use instead of building it.
      
      fixes #332.
      459d6562
  6. Aug 24, 2017
    • Ben Cumming's avatar
      Basic Sphinx Documentation (#328) · 610fd857
      Ben Cumming authored and Sam Yates's avatar Sam Yates committed
      Adds support for building documentation with Sphinx from reStructuredText-formatted files in the `doc` subdirectory. Automatic building has been verified with ReadTheDocs.
      
      * Add basic documentation to the `doc` path.
      * Use a git submodule and associated CMake to pull in ReadTheDocs theme at configuration time.
      610fd857
  7. Apr 12, 2017
    • Sam Yates's avatar
      Initial microbenchmark builds. (#227) · c579fa19
      Sam Yates authored
      * Use git submodule for incorporating Google benchmark library.
      * Add one microbenchmark for comparing `util::transform_view` performance.
      
      Note that the microbenchmarks are not built by default; they can be built with `make ubenches`, and then run individually. The microbenchmarks will be built in `tests/ubench/`, relative to the build directory.
      c579fa19
  8. Nov 14, 2016
    • Ben Cumming's avatar
      First GPU support (#77) · 97e17b18
      Ben Cumming authored
      This PR is part of the gpu feature merge. The GPU implementation is not implemented here. Instead, we focus on refactoring of the original "multicore" back end so that it is ready for adding the GPU back end.
      
      This is a big and messy change, for which I am sorry.
      
      ## build System
      
      - A `WITH_CUDA` option has been added to the main CMakeLists. This finds the CUDA toolkit, and sets CUDA compiler flags, and will build unit tests for the gpu back end.
      - The CMakeLists that generates mechanisms with modcc has been updated to generate CUDA mechanisms.
      - the library is now named `libnestmc` instead of `libcellalgo`
      - merge the external libraries that are optionally linked againts (tbb, libunwind, etc) into a single
        `EXTERNAL_LIBRARIES` list for ease of linking
      
      ## modcc
      
      - the cprinter and cudaprinter have had small changes to generate mechanism files that are compatible with the refactored library.
      
      ## algorithms
      
      - the indexes into algorithm was "rangified". An algorithm `index_into_iterator` takes two ranges as inputs to make a range that lazily generates the index of sub into super set.
      
      ## backends
      
      - made a new path `src/backends/` for backend specific type and implementation code.
      - currently:
        - complete support for the `multicore` and `gpu` backends
        - `gpu` back end is not optimized or validated
      - the back end implementations are in `src/backends`
      - a single `backend` class, `nest::mc::{multicore,gpu}::backend`, is provides all backend specific type and implementation details fro each backend
        - storage containers
        - Hines matrix assembly for FVM method
        - Hines matrix solver
        - mechanism "factory"
      
      ## lowered fvm cells
      
      - removed `fvm_cell` because this can be modelled with an `fvm_multicell` with one cell.
      - refactored to use backend type and implementation from `fvm_policy`
      - use `std::vector` instead of containers in `nest::mc::memory::` where possible when building cells.
      
      ## memory library
      
      Refactor the "memory" library, making it much simpler and better integrated into the rest of the application. However, it is still far from perfect. The `Coordinator` approach needs to be improved, most likely by putting target-specific wisdom into pointers (which could obviate the need for a `const_array_view` type.
      1. renaming and moving
         - move from `vector/` to `src/memory`
         - move into the `nest::mc` namespace, i.e. all types and functions are now in `nest::mc::memory`
         - change from camel case nameing scheme to NestMC style naming.
      2. simplification
         - remove the CRTP cruft that was used to make operator overloading work for operations like copying from one range into another, and filling a range with a constant value. These have been replaced with `memory::fill()` and `memory::copy()` helper functions. This simplified the code _a lot_, and makes code clearer in user land.
         
         ```
         // before
         vec(0, 5) = other;
         // now
         memory::copy(other, vec(0, 5));
         ```
         - add some wrappers in `src/memory/wrappers.hpp` that help with making views. These are particularly useful for passing `std::vector` through interfaces that expect a view.
      
      ## debug backtraces
      
      Added stack traces for debugging.
      - support for OSX and Linux via libunwind
      - backtraces can be generated manually `nest::mc::util::backtrace().print()`
        - creates a new file and dumps trace into file
        - prints message to `stderr` with file name and instructions on how to analyse
      - backtraces are also automatically generated when an assertion `EXPECTS` statement fails
      - a python script in `scripts/print_backtrace` pretty prints the output with file name, line number and demangled symbols
      
      ## util simplification and consolidation
      
      The `src/util.hpp` file was removed
      - much of its contents were dead code and just removed
      - useful components like `pprintf` and `make_unique` were moved into the `src/utils` path in standalone files
      There was a lot of overlap between functionality provided in `src/memory/util.hpp` and existing functions/types in the `nest::mc::util` namespace. The `memory` implementations were removed, and their `nest::mc::util` counterparts used. There is still some work remaining, namely moving the rest of the `src/memory/util.hpp` into `src/util/...`
      97e17b18
  9. Oct 04, 2016
  10. Oct 03, 2016
  11. Jul 01, 2016
    • Benjamin Cumming's avatar
      improved spike chain generation in minapp · fdedb831
      Benjamin Cumming authored
      * add header only library TCLAP for parsing command line arguments
          - added as git submodule
          - update CMakeLists to include headers
      * remove the ring model from miniapp
      * add support for user supplied parameters for miniapp
          - arguments for cell counts etc can be command line flags
          - or in a user-defined json input file
      * the all-to-all model supports synapses-per-cell is less than
        the total number of cells
          - in this case a random set of sources is selected
      fdedb831
  12. Jun 07, 2016
  13. Jun 06, 2016
  14. Dec 03, 2015