Edge Rewrite
// HTMLRewriter · presentation

This page was redesigned at the edge.

Cloudflare fetched the original article and streamed it through HTMLRewriter to apply an entirely new visual system without rebuilding the source page.

Jump to content

VTune

From Wikipedia, the free encyclopedia
VTune Profiler
DeveloperIntel Developer Products
Stable release
2024.2 / June 18, 2024; 2 years ago (2024-06-18)[1]
Operating systemWindows and Linux (UI-only on macOS)
TypeProfiler
LicenseFree and Commercial Support
Websitesoftware.intel.com/content/www/us/en/develop/tools/oneapi/components/vtune-profiler.html Edit this on Wikidata

VTune Profiler[2][3][4][5] (formerly VTune Amplifier) is a performance analysis tool for x86-based machines running Linux or Microsoft Windows operating systems. Many features work on both Intel and AMD hardware, but the advanced hardware-based sampling features require an Intel-manufactured CPU.

VTune is available for free as a stand-alone tool or as part of the Intel oneAPI Base Toolkit.

Features

[edit]
Languages
C, C++, Data Parallel C++ (DPC++),[6][7] C#, Fortran, Java, Python, Go, OpenCL, assembly and any mix. Other native programming languages that adhere to common standards can also be profiled.
Profiles
Profiles include algorithm, microarchitecture, parallelism, I/O, system, thermal throttling, and accelerators (GPU and FPGA).[citation needed]
Local, Remote, Server
VTune supports local and remote performance profiling.  It can be run as an application with a graphical interface, as a command line or as a server accessible by multiple users via a web browser.[citation needed]

See also

[edit]

References

[edit]
  1. "Intel® VTune Profiler Release Notes and New Features". software.intel.com.
  2. "Intel VTune | Argonne Leadership Computing Facility". www.alcf.anl.gov. Archived from the original on 2020-11-27. Retrieved 2020-12-09.
  3. Damle, Milind (2019). "My Experience tuning big data workloads and applications" (PDF). SPDK.IO. Archived from the original (PDF) on 2021-06-12.
  4. "Finding Hotspots in Your Code with the Intel VTune Command-Line Interface  HECC Knowledge Base". www.nas.nasa.gov. Retrieved 2020-12-09.
  5. Singer, Matthew (2019-08-07). "Accelerating Hadoop at Twitter with NVMe SSDs: A Hybrid Approach" (PDF). Flash memory Summit.
  6. Black, Doug (2020-04-01). "Breaking Boundaries with Data Parallel C++". insideHPC. Retrieved 2020-12-08.
  7. "Intel oneAPI DPC++ Compiler 2020-06 Released With New Features  Phoronix". www.phoronix.com. Retrieved 2020-12-09.
[edit]