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https://github.com/ispc/ispc
Intel® Implicit SPMD Program Compiler
https://github.com/ispc/ispc
compiler intel ispc programming-language simd spmd
Last synced: about 1 month ago
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Intel® Implicit SPMD Program Compiler
- Host: GitHub
- URL: https://github.com/ispc/ispc
- Owner: ispc
- License: bsd-3-clause
- Created: 2011-06-21T20:21:45.000Z (over 13 years ago)
- Default Branch: main
- Last Pushed: 2024-05-22T13:05:32.000Z (6 months ago)
- Last Synced: 2024-05-22T14:29:51.265Z (6 months ago)
- Topics: compiler, intel, ispc, programming-language, simd, spmd
- Language: C++
- Homepage:
- Size: 43.6 MB
- Stars: 2,409
- Watchers: 96
- Forks: 304
- Open Issues: 367
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.txt
- Security: SECURITY.md
Awesome Lists containing this project
- awesome-high-performance-computing - Intel ISPC - SPMD compiler (Software / Trends)
- awesome-programming-languages - ISPC - Intel Implicit SPMD Program Compiler is a compiler for a variant of the C programming language, with extensions for single program, multiple data programming. Under the SPMD model, the programmer writes a program that generally appears to be a regular serial program, though the execution model is actually that a number of program instances execute in parallel on the hardware. [C dialect] (Uncategorized / Uncategorized)
README
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# Intel® Implicit SPMD Program Compiler (Intel® ISPC)
`ispc` is a compiler for a variant of the C programming language, with
extensions for [single program, multiple
data](http://en.wikipedia.org/wiki/SPMD) programming. Under the SPMD model,
the programmer writes a program that generally appears to be a regular serial
program, though the execution model is actually that a number of *program
instances* execute in parallel on the hardware.## Overview
`ispc` compiles a C-based SPMD programming language to run on the SIMD units of
CPUs and GPUs; it frequently provides a 3x or more speedup on architectures
with 4-wide vector SSE units and 5x-6x on architectures with 8-wide AVX vector
units, without any of the difficulty of writing intrinsics code.
Parallelization across multiple cores is also supported by `ispc`, making it
possible to write programs that achieve performance improvement that scales by
both number of cores and vector unit size.There are a few key principles in the design of `ispc`:
* To build a small set of extensions to the C language that would deliver
excellent performance to performance-oriented programmers who want to run
SPMD programs on the CPU and GPU.* To provide a thin abstraction layer between the programmer and the
hardware--in particular, to have an execution and data model where the
programmer can cleanly reason about the mapping of their source program to
compiled assembly language and the underlying hardware.* To make it possible to harness the computational power of SIMD vector units
without the extremely low-programmer-productivity activity of directly
writing intrinsics.* To explore opportunities from close coupling between C/C++ application code
and SPMD `ispc` code running on the same processor--to have lightweight
function calls between the two languages and to share data directly via
pointers without copying or reformatting.`ispc` is an open source compiler with the BSD license. It uses the remarkable
[LLVM Compiler Infrastructure](http://llvm.org) for back-end code generation
and optimization and is [hosted on github](http://github.com/ispc/ispc). It
supports Windows, macOS, and Linux as a host operating system and also capable
to target Android, iOS, and PS4/PS5. It currently supports multiple flavours
of x86 (SSE2, SSE4, AVX, AVX2, and AVX512), ARM (NEON), and Intel® GPU
architectures (Gen9 and Xe family).## Features
`ispc` provides a number of key features to developers:
* Familiarity as an extension of the C programming language: `ispc` supports
familiar C syntax and programming idioms, while adding the ability to write
SPMD programs.* High-quality SIMD code generation: the performance of code generated by
`ispc` is often close to that of hand-written intrinsics code.* Ease of adoption with existing software systems: functions written in
`ispc` directly interoperate with application functions written in C/C++
and with application data structures.
* Portability across over a decade of CPU generations: `ispc` has targets for
x86 SSE2, SSE4, AVX, AVX2, and AVX512, as well as ARM NEON and recent
Intel® GPUs.* Portability across operating systems: Microsoft Windows, macOS, Linux, and
FreeBSD are all supported by `ispc`.* Debugging with standard tools: `ispc` programs can be debugged with
standard debuggers.## Installation
### Official Release BinariesYou can download the official release binaries from [the latest release
page](https://github.com/ispc/ispc/releases/latest). Choose the appropriate version
for your operating system and architecture.### Linux (Snap Store)
Linux users can install `ispc` using the Snap Store:
```bash
snap install ispc
```### Intel® oneAPI Distribution
`ispc` is distributed as part of the Intel® oneAPI. You can install it from the
corresponding repositories for DEB-based and RPM-based Linux distributions.
Follow the instructions below:DEB-based Linux (Ubuntu, Debian, etc.)
First, download the key to the system keyring:```bash
wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor | sudo tee /usr/share/keyrings/oneapi-archive-keyring.gpg > /dev/null
```Next, add the signed entry to apt sources and configure the APT client to use
the Intel repository:```bash
echo "deb [signed-by=/usr/share/keyrings/oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" | sudo tee /etc/apt/sources.list.d/oneAPI.list
```Update the package list and install `ispc`:
```bash
sudo apt-get update
sudo apt-get install intel-oneapi-ispc
```The installation location is inside the `/opt/intel/` directory. To use `ispc`,
either use the full path `/opt/intel/oneapi/ispc/latest/bin/ispc` or add the
`bin` directory to your `PATH`:```bash
source /opt/intel/oneapi/ispc/latest/env/vars.sh
```### Other Package Managers
Thanks to community support, `ispc` is also available through a variety of
package managers on multiple operating systems.### Windows
To install `ispc` on Windows, you can download the latest release as `zip`
archive from
[the latest release page](https://github.com/ispc/ispc/releases/latest).
Then you need to unpack that to some directory. It is user's responsibility to
set-up permissions for this directory according to the principle of least
privilege.Moreover, `ispc` depends on run-time components of Visual C++ (DLLs). These
libraries can be installed with Microsoft Visual C++ Redistributable package.
Instruction to install them can be found
[here](https://learn.microsoft.com/en-us/cpp/windows/latest-supported-vc-redist).## Additional Resources
Latest `ispc` binaries corresponding to `main` branch can be downloaded from
Appveyor for
[Linux](https://ci.appveyor.com/api/projects/ispc/ispc/artifacts/build%2Fispc-trunk-linux.tar.gz?job=Environment%3A%20APPVEYOR_BUILD_WORKER_IMAGE%3DUbuntu1804%2C%20LLVM_VERSION%3Dlatest)
and
[Windows](https://ci.appveyor.com/api/projects/ispc/ispc/artifacts/build%2Fispc-trunk-windows.zip?job=Environment%3A%20APPVEYOR_BUILD_WORKER_IMAGE%3DVisual%20Studio%202019%2C%20LLVM_VERSION%3Dlatest)
See also additional [documentation](https://ispc.github.io/documentation.html)
and additional [performance information](https://ispc.github.io/perf.html). If
you have a bug report and have a question, you are welcome to open an
[issue](https://github.com/ispc/ispc/issues) or start a
[discussion](https://github.com/ispc/ispc/discussions) on GitHub.