Skip to main content

KvikIO - GPUDirect Storage

Project description

KvikIO: High Performance File IO

Summary

KvikIO (pronounced "kuh-VICK-eye-oh", see here for pronunciation of kvik) is a Python and C++ library for high performance file IO. It provides C++ and Python bindings to cuFile, which enables GPUDirect Storage (GDS). KvikIO also works efficiently when GDS isn't available and can read/write both host and device data seamlessly.

Features

  • Object oriented API of cuFile with C++/Python exception handling.
  • A Python Zarr backend for reading and writing GPU data to file seamlessly.
  • Concurrent reads and writes using an internal thread pool.
  • Non-blocking API.
  • Transparently handles reads and writes to/from memory on both host and device.

Documentation

Examples

Python

import cupy
import kvikio

def main(path):
    a = cupy.arange(100)
    f = kvikio.CuFile(path, "w")
    # Write whole array to file
    f.write(a)
    f.close()

    b = cupy.empty_like(a)
    f = kvikio.CuFile(path, "r")
    # Read whole array from file
    f.read(b)
    assert all(a == b)
    f.close()

    # Use contexmanager
    c = cupy.empty_like(a)
    with kvikio.CuFile(path, "r") as f:
        f.read(c)
    assert all(a == c)

    # Non-blocking read
    d = cupy.empty_like(a)
    with kvikio.CuFile(path, "r") as f:
        future1 = f.pread(d[:50])
        future2 = f.pread(d[50:], file_offset=d[:50].nbytes)
        # Note: must wait for futures before exiting block
        # at which point the file is closed.
        future1.get()  # Wait for first read
        future2.get()  # Wait for second read
    assert all(a == d)


if __name__ == "__main__":
    main("/tmp/kvikio-hello-world-file")

C++

#include <cstddef>
#include <future>
#include <cuda_runtime.h>
#include <kvikio/file_handle.hpp>

int main()
{
  // Create two arrays `a` and `b`
  constexpr std::size_t size = 100;
  void *a = nullptr;
  void *b = nullptr;
  cudaMalloc(&a, size);
  cudaMalloc(&b, size);

  // Write `a` to file
  kvikio::FileHandle fw("test-file", "w");
  std::size_t written = fw.write(a, size);
  fw.close();

  // Read file into `b`
  kvikio::FileHandle fr("test-file", "r");
  std::size_t read = fr.read(b, size);
  fr.close();

  // Read file into `b` in parallel using 16 threads
  kvikio::default_thread_pool::reset(16);
  {
    // FileHandles have RAII semantics
    kvikio::FileHandle f("test-file", "r");
    std::future<std::size_t> future = f.pread(b_dev, sizeof(a), 0);  // Non-blocking
    std::size_t read = future.get(); // Blocking
    // Notice, `f` closes automatically on destruction.
  }
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

kvikio_cu12-26.4.0-cp311-abi3-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl (626.3 kB view details)

Uploaded CPython 3.11+manylinux: glibc 2.24+ x86-64manylinux: glibc 2.28+ x86-64

kvikio_cu12-26.4.0-cp311-abi3-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl (587.1 kB view details)

Uploaded CPython 3.11+manylinux: glibc 2.24+ ARM64manylinux: glibc 2.28+ ARM64

File details

Details for the file kvikio_cu12-26.4.0-cp311-abi3-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for kvikio_cu12-26.4.0-cp311-abi3-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 58fa8aa9782f5e426c0568a05cbf232946e80f89efc6d5ef0eaec78f0771580a
MD5 b29712b502fd2e58dd7b1025e62eee38
BLAKE2b-256 1f2e08785cce15da72c9185285b8933d0a14a040f2350241beeb92c7a3dd8ee1

See more details on using hashes here.

File details

Details for the file kvikio_cu12-26.4.0-cp311-abi3-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for kvikio_cu12-26.4.0-cp311-abi3-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 72cf92d7786b9cb34c60d616a25ef1c802ee465ebc20dd4b5ca2a365b409be16
MD5 85e8bf04d8fe1b7ec18840e3c9bf6711
BLAKE2b-256 802495abc4335e8db5b8e140dbe7bdaa9bd7c8620cc087b33ccf748f474c43b0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page