Pinned Repositories
BlackScholes_bench
Benchmark computing Black Scholes formula using different technologies
cnc-ocr
Concurrent Collections on OCR
cython
The most widely used Python to C compiler
horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
icnc
Intel(R) Concurrent Collections for C++
scale-out-benchs
swig
SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.
scikit-learn-intelex
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
dpbench
Benchmark suite to evaluate Data Parallel Extensions for Python
swig
SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.
fschlimb's Repositories
fschlimb/scale-out-benchs
fschlimb/swig
SWIG is a software development tool that connects programs written in C and C++ with a variety of high-level programming languages.
fschlimb/BlackScholes_bench
Benchmark computing Black Scholes formula using different technologies
fschlimb/cnc-ocr
Concurrent Collections on OCR
fschlimb/cython
The most widely used Python to C compiler
fschlimb/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
fschlimb/icnc
Intel(R) Concurrent Collections for C++
fschlimb/conda
OS-agnostic, system-level binary package manager and ecosystem
fschlimb/conda-build
Commands and tools for building conda packages
fschlimb/cpython
The Python programming language
fschlimb/daal
Intel® Data Analytics Acceleration Library (Intel® DAAL)
fschlimb/daal4py
sources for daal4py - a convenient Python API to DAAL
fschlimb/daos
DAOS Storage Engine
fschlimb/ep2017_tutorial_tune_performance
Tutorial files and code the EuroPython 2017 tutorial, "A Hands-On Approach to Tuning Python Applications for Performance".
fschlimb/gilectomy
Gilectomy branch of CPython. Use "gilectomy" branch in git. Use "fix_makefile" after configure to fix your makefile.
fschlimb/heat
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
fschlimb/hpat
A compiler-based big data framework in Python
fschlimb/llvmlite
A lightweight LLVM python binding for writing JIT compilers
fschlimb/mlir-extensions
A staging ground for MLIR dialects and tools.
fschlimb/pydaal-tutorials
Tutorials for uisng PyDAAL, i.e. the Python API of Intel Data Analytics Acceleration Library
fschlimb/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
fschlimb/RustPython
A Python Interpreter written in Rust
fschlimb/sharded-array-for-python
fschlimb/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
fschlimb/xgboost_ray
Distributed XGBoost on Ray