Update Intel package descriptions (#31150)

lib/spack/docs/build_systems/inteloneapipackage.rst

@@ -84,8 +84,8 @@ build ``hdf5`` with Intel oneAPI MPI do::
 
   spack install hdf5 +mpi ^intel-oneapi-mpi
 
-Using an Externally Installed oneAPI
-====================================
+Using Externally Installed oneAPI Tools
+=======================================
 
 Spack can also use oneAPI tools that are manually installed with
 `Intel Installers`_.  The procedures for configuring Spack to use
@@ -110,7 +110,7 @@ Another option is to manually add the configuration to
 Libraries
 ---------
 
-If you want Spack to use MKL that you have installed without Spack in
+If you want Spack to use oneMKL that you have installed without Spack in
 the default location, then add the following to
 ``~/.spack/packages.yaml``, adjusting the version as appropriate::
 
@@ -139,7 +139,7 @@ You can also use Spack-installed libraries. For example::
   spack load intel-oneapi-mkl
 
 Will update your environment CPATH, LIBRARY_PATH, and other
-environment variables for building an application with MKL.
+environment variables for building an application with oneMKL.
 
 More information
 ================

lib/spack/docs/build_systems/intelpackage.rst

@@ -15,6 +15,9 @@ IntelPackage
 Intel packages in Spack
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
+This is an earlier version of Intel software development tools and has
+now been replaced by Intel oneAPI Toolkits.
+
 Spack can install and use several software development products offered by Intel.
 Some of these are available under no-cost terms, others require a paid license.
 All share the same basic steps for configuration, installation, and, where

var/spack/repos/builtin/packages/intel-daal/package.py

@@ -6,8 +6,12 @@
 from spack.package import *
 
 
+@IntelOneApiPackage.update_description
 class IntelDaal(IntelPackage):
-    """Intel Data Analytics Acceleration Library."""
+    """Intel Data Analytics Acceleration Library. This package has been
+       replace by intel-oneapi-dal.
+
+    """
 
     maintainers = ['rscohn2']
 

var/spack/repos/builtin/packages/intel-ipp/package.py

@@ -6,8 +6,14 @@
 from spack.package import *
 
 
+@IntelOneApiPackage.update_description
 class IntelIpp(IntelPackage):
-    """Intel Integrated Performance Primitives."""
+    """Intel Integrated Performance Primitives. This package has been
+       replaced by intel-oneapi-ipp.
+
+    """
+
+    maintainers = ['rscohn2']
 
     homepage = "https://software.intel.com/en-us/intel-ipp"
 

var/spack/repos/builtin/packages/intel-mkl/package.py

@@ -8,8 +8,12 @@
 from spack.package import *
 
 
+@IntelOneApiPackage.update_description
 class IntelMkl(IntelPackage):
-    """Intel Math Kernel Library."""
+    """Intel Math Kernel Library. This package has been replaced by
+       intel-oneapi-mkl.
+
+    """
 
     maintainers = ['rscohn2']
 

var/spack/repos/builtin/packages/intel-mpi-benchmarks/package.py

@@ -6,13 +6,16 @@
 from spack.package import *
 
 
+@IntelOneApiPackage.update_description
 class IntelMpiBenchmarks(MakefilePackage):
-    """Intel(R) MPI Benchmarks provides a set of elementary benchmarks
-       that conform to MPI-1, MPI-2, and MPI-3 standard.
-       You can run all of the supported benchmarks, or a subset specified
-       in the command line using one executable file.
-       Use command-line parameters to specify various settings, such as
-       time measurement, message lengths, and selection of communicators. """
+    """Intel MPI Benchmarks provides a set of elementary benchmarks that
+       conform to MPI-1, MPI-2, and MPI-3 standard. You can run all of
+       the supported benchmarks, or a subset specified in the command
+       line using one executable file. Use command-line parameters to
+       specify various settings, such as time measurement, message
+       lengths, and selection of communicators.
+
+    """
 
     homepage = "https://software.intel.com/en-us/articles/intel-mpi-benchmarks"
     url      = "https://github.com/intel/mpi-benchmarks/archive/IMB-v2019.5.tar.gz"

var/spack/repos/builtin/packages/intel-mpi/package.py

@@ -6,8 +6,11 @@
 from spack.package import *
 
 
+@IntelOneApiPackage.update_description
 class IntelMpi(IntelPackage):
-    """Intel MPI"""
+    """Intel MPI. This package has been replaced by intel-oneapi-mpi.
+
+    """
 
     maintainers = ['rscohn2']
 

var/spack/repos/builtin/packages/intel-oneapi-ccl/package.py

@@ -10,7 +10,15 @@
 
 @IntelOneApiPackage.update_description
 class IntelOneapiCcl(IntelOneApiLibraryPackage):
-    """Intel oneAPI CCL."""
+    """The Intel oneAPI Collective Communications Library (oneCCL) enables
+       developers and researchers to more quickly train newer and
+       deeper models. This is done by using optimized communication
+       patterns to distribute model training across multiple
+       nodes. The library is designed for easy integration into deep
+       learning frameworks, whether you are implementing them from
+       scratch or customizing existing ones.
+
+    """
 
     maintainers = ['rscohn2']
 

var/spack/repos/builtin/packages/intel-oneapi-dal/package.py

@@ -11,11 +11,14 @@
 
 @IntelOneApiPackage.update_description
 class IntelOneapiDal(IntelOneApiLibraryPackage):
-    """Intel Data Analytics Library (DAL) provides the right tools to
-    build compute-intense applications that run fast on Intel
-    architecture. It includes algorithms for analysis functions, math
-    functions, training and library prediction functions for C++ and
-    Java.
+    """Intel oneAPI Data Analytics Library (oneDAL) is a library that
+       helps speed up big data analysis by providing highly optimized
+       algorithmic building blocks for all stages of data analytics
+       (preprocessing, transformation, analysis, modeling, validation,
+       and decision making) in batch, online, and distributed
+       processing modes of computation. The library optimizes data
+       ingestion along with algorithmic computation to increase
+       throughput and scalability.
 
     """
 

var/spack/repos/builtin/packages/intel-oneapi-dnn/package.py

@@ -11,7 +11,16 @@
 
 @IntelOneApiPackage.update_description
 class IntelOneapiDnn(IntelOneApiLibraryPackage):
-    """Intel oneAPI DNN."""
+    """The Intel oneAPI Deep Neural Network Library (oneDNN) helps
+       developers improve productivity and enhance the performance of
+       their deep learning frameworks. It supports key data type
+       formats, including 16 and 32-bit floating point, bfloat16, and
+       8-bit integers and implements rich operators, including
+       convolution, matrix multiplication, pooling, batch
+       normalization, activation functions, recurrent neural network
+       (RNN) cells, and long short-term memory (LSTM) cells.
+
+    """
 
     maintainers = ['rscohn2']
 

var/spack/repos/builtin/packages/intel-oneapi-dpct/package.py

@@ -10,7 +10,12 @@
 
 @IntelOneApiPackage.update_description
 class IntelOneapiDpct(IntelOneApiPackage):
-    """Intel oneAPI DPC++ Compatibility Tool."""
+    """The Intel DPC++ Compatibility Tool assists in migrating your
+       existing CUDA code to SYCL code. The tool ports both CUDA
+       language kernels and library API calls. Typically, 90%-95% of
+       CUDA code automatically migrates to SYCL code.
+
+    """
 
     maintainers = ['rscohn2']
 

var/spack/repos/builtin/packages/intel-oneapi-dpl/package.py

@@ -11,7 +11,14 @@
 
 @IntelOneApiPackage.update_description
 class IntelOneapiDpl(IntelOneApiLibraryPackage):
-    """Intel oneAPI DPL."""
+    """The Intel oneAPI DPC++ Library (oneDPL) is a companion to the Intel
+       oneAPI DPC++/C++ Compiler and provides an alternative for C++
+       developers who create heterogeneous applications and
+       solutions. Its APIs are based on familiar standards-C++ STL,
+       Parallel STL (PSTL), Boost.Compute, and SYCL*-to maximize
+       productivity and performance across CPUs, GPUs, and FPGAs.
+
+    """
 
     maintainers = ['rscohn2']
 

var/spack/repos/builtin/packages/intel-oneapi-ipp/package.py

@@ -10,7 +10,18 @@
 
 @IntelOneApiPackage.update_description
 class IntelOneapiIpp(IntelOneApiLibraryPackage):
-    """Intel oneAPI IPP."""
+    """Intel Integrated Performance Primitives (Intel IPP) is an extensive
+       library of ready-to-use, domain-specific functions that are
+       highly optimized for diverse Intel architectures. These
+       functions take advantage of Single Instruction, Multiple Data
+       (SIMD) instructions and improve the performance of
+       computation-intensive applications, including signal
+       processing, data compression, video processing, and
+       cryptography. The intel-oneapi-ippcp package contains support
+       for cryptography and everything else can be found in the
+       intel-oneapi-ipp package.
+
+    """
 
     maintainers = ['rscohn2']
 

var/spack/repos/builtin/packages/intel-oneapi-ippcp/package.py

@@ -11,7 +11,18 @@
 
 @IntelOneApiPackage.update_description
 class IntelOneapiIppcp(IntelOneApiLibraryPackage):
-    """Intel oneAPI IPP Crypto."""
+    """Intel Integrated Performance Primitives (Intel IPP) is an extensive
+       library of ready-to-use, domain-specific functions that are
+       highly optimized for diverse Intel architectures. These
+       functions take advantage of Single Instruction, Multiple Data
+       (SIMD) instructions and improve the performance of
+       computation-intensive applications, including signal
+       processing, data compression, video processing, and
+       cryptography. The intel-oneapi-ippcp package contains support
+       for cryptography and everything else can be found in the
+       intel-oneapi-ipp package.
+
+    """
 
     maintainers = ['rscohn2']
 

var/spack/repos/builtin/packages/intel-oneapi-mkl/package.py

@@ -11,7 +11,14 @@
 
 @IntelOneApiPackage.update_description
 class IntelOneapiMkl(IntelOneApiLibraryPackage):
-    """Intel oneAPI MKL."""
+    """Intel oneAPI Math Kernel Library (Intel oneMKL; formerly Intel Math
+       Kernel Library or Intel MKL), is a library of optimized math
+       routines for science, engineering, and financial
+       applications. Core math functions include BLAS, LAPACK,
+       ScaLAPACK, sparse solvers, fast Fourier transforms, and vector
+       math.
+
+    """
 
     maintainers = ['rscohn2']
 

var/spack/repos/builtin/packages/intel-oneapi-mpi/package.py

@@ -11,7 +11,13 @@
 
 @IntelOneApiPackage.update_description
 class IntelOneapiMpi(IntelOneApiLibraryPackage):
-    """Intel oneAPI MPI."""
+    """Intel MPI Library is a multifabric message-passing library that
+       implements the open-source MPICH specification. Use the library
+       to create, maintain, and test advanced, complex applications
+       that perform better on high-performance computing (HPC)
+       clusters based on Intel processors.
+
+    """
 
     maintainers = ['rscohn2', ]
 

var/spack/repos/builtin/packages/intel-oneapi-tbb/package.py

@@ -11,7 +11,12 @@
 
 @IntelOneApiPackage.update_description
 class IntelOneapiTbb(IntelOneApiLibraryPackage):
-    """Intel oneAPI TBB."""
+    """Intel oneAPI Threading Building Blocks (oneTBB) is a flexible
+       performance library that simplifies the work of adding
+       parallelism to complex applications across accelerated
+       architectures, even if you are not a threading expert.
+
+    """
 
     maintainers = ['rscohn2']
 

var/spack/repos/builtin/packages/intel-parallel-studio/package.py

@@ -6,8 +6,12 @@
 from spack.package import *
 
 
+@IntelOneApiPackage.update_description
 class IntelParallelStudio(IntelPackage):
-    """Intel Parallel Studio."""
+    """This is an earlier version of Intel parallel software development
+       tools and has now been replaced by the Intel oneAPI Toolkits.
+
+    """
 
     homepage = "https://software.intel.com/en-us/intel-parallel-studio-xe"
 

var/spack/repos/builtin/packages/intel/package.py

@@ -9,8 +9,12 @@
 from spack.package import *
 
 
+@IntelOneApiPackage.update_description
 class Intel(IntelPackage):
-    """Intel Compilers."""
+    """Intel Compilers. This package has been replaced by
+       intel-oneapi-compilers.
+
+    """
 
     homepage = "https://software.intel.com/en-us/intel-parallel-studio-xe"