Tools & Libraries
From creating reliable code to accelerating deep learning training, Intel has tools and libraries that make managing data easier.
Intel® oneAPI Base Toolkit
The toolkit is a core set of tools and libraries for developing high-performance, data-centric applications across diverse architectures. It features an industry-leading C++ compiler and the Data Parallel C++ (DPC++) language, an evolution of C++ for heterogeneous computing.
Tools
Design code for efficient vectorization, threading, and offloading to accelerators.
Locate and debug threading, memory, and persistent memory errors early in the design cycle to avoid costly errors later.
Intel® Trace Analyzer and Collector
Understand MPI application behavior across its full runtime.
Find and optimize performance bottlenecks across CPU, GPU, and FPGA systems.
Libraries
Intel® oneAPI Data Analytics Library (oneDAL)
Boost machine learning and data analytics performance.
Intel® oneAPI Math Kernel Library (oneMKL)
Accelerate math processing routines, including matrix algebra, fast Fourier transforms (FFT), and vector math.
Intel® oneAPI Threading Building Blocks (oneTBB)
Simplify parallelism with this advanced threading and memory-management template library.
Intel® Integrated Performance Primitives (Intel® IPP)
Speed up performance of imaging, signal processing, data compression, cryptography, and more.
Intel® Intelligent Storage Acceleration Library (Intel® ISA-L)
Find tools to minimize disk space use and maximize storage throughput, security, and resilience.
Deliver flexible, efficient, scalable cluster messaging on Intel® architecture.
BigDL: Distributed Deep Learning Library for Apache Spark*
Add deep learning functionality to your big data workflows by writing deep learning applications as standard Spark programs.
Data Plane Development Kit (DPDK)
Access a set of open-source libraries and drivers for fast packet processing. Convert a general-purpose processor into your own packet forwarder without having to use expensive custom switches and routers.