v0.6.2

Changelog

Features

• added a JNIExampleClasses cmake target to build all java examples
• added a file with posix autocompletions for yacx.sh
• add nix-shell file

if you're on nixos or using nix package manager you can now easily create an enviroment with cudatoolkit and jdk by just entering:

$ nix-shell

Bugfixes

• multiple small issues with the CMakeLists
• fix logger colors and newline issues

v0.6.1

Changelog

Features

• usage of dynamic shared memory
• add JNI-example for execute c-code
• add JNI-benchmarktests for gemm- and reducekernel

Changes

• JNI
  • uses pinned memory
  • createHalfTransosed for convert float-matrix to halfs and transposes it
  • add example for execute c-code
  • fix typo libary -> library
• fix compilerwarnings
• host-code optimizations for faster kernellaunch

v0.6

Changelog

Features

• new static Devices class to easily filter devices
  • by name
  • by UUID
  • by lambda function
• Logger
  • outputs in color
  • set logging levels/file output per command line, try with example_logger.cpp
    • --file=yacx.log: set file output
    • --log=DEBUG: set logging level

Changes

• KernelTime has been refactored
  • every instance calculates effective bandwidth
    • up
    • down
    • total
  • overloaded << operator
• Logger is now static
  • allows setting stream output to cerr or cout
  • additionally output log to file

v0.5

Changelog

Features

• C Executor
• Benchmarking
  • can benchmark CUDA and even works with rise-lang/executor
  • KernelArgCreator to easily benchmark with different KernelArg inputs
• more example Kernels
• JNI
  • more java and scala examples
  • junits tests
  • KernelArg Outputs are instantly reusable as Inputs see #89
• added sbt project file

Changes

• JNI
  • exceptions in case of illegal arguments (e.g. NULL)
  • split up KernelArg-class into BooleanArg, ByteArg, ShortArg, IntArg, LongArg, HalfArg, FloatArg, DoubleArg and PaddingArg
    • PaddingArg helps to easily pad matrices to work more easily with e.g. TensorCores
    • HalfArg will convert a float array with a CUDA Kernel
  • Java files were moved to a proper package: src/{java=>main/java/yacx}/

v0.4.1

Changelog

Documentation

• created a classDiagram 4647713
• a Code of Conduct 4b1ffcf
• a Contribution Guideline 4d973a6

Changes

• renamed (see #78)
  • Headers.{length=>numHeaders}
  • Options.{options=>content}
  • KernelArgs.m_{chArgs=>voArgs}
• cleaned up repo
  • fixed workflows for pull requests
  • issue templates
  • updated README.md

v0.4

Changelog

Changes

• rename project from cudaexecutor/cudacompiler to yacx - yet another cudaexecutor

v0.3

Changelog

Features

• KernelTime: measure time of kernel execution as well as uploading and downloading of KernelArgs
• fully featured JNI
• lots of java and scala examples
• build and execute script for java/scala: cudaexecutor.sh

Changes

• KernelArgs refactor
  • moved KernelArg uploading into KernelArgs

v0.2

Changelog

Features

• c++ bindings
  • get devices
  • execute abitrary cuda kernels
  • template kernels
  • logging and exception for debugging
  • nvrtc option class
• mostly replicated as a JNI

Changes

• Classes renamed
  • ProgramArg => KernelArg
  • Program => Source
  • Kernel => Kernel, Program