Loading the SOTA2 catalog…
TAL-SH
Tensor Algebra Library for Shared Memory Computers: Nodes equipped with multicore CPU, NVIDIA GPU, AMD GPU, and Intel Xeon Phi.
What is TAL-SH?
Tensor Algebra Library for Shared Memory Computers: Nodes equipped with multicore CPU, NVIDIA GPU, AMD GPU, and Intel Xeon Phi. The library implements basic tensor algebra operations with interfaces to C, C++11, and Fortran 90+.
Product typeScientific Models
Pricing ·
DeploymentSelf-hosted
APINot available
What teams use TAL-SH for
Tensor algebra operations on shared memory computers with multicore CPU, NVIDIA GPU, AMD GPU, and Intel Xeon Phi
Integrations and access
Platforms, integrations, and language support vary by plan and region. Confirm final requirements with the vendor.
Platforms
IntegrationsAPI and webhooks
Languages
Support
What reviewers say
Community reviewsReviews are owned and editable by their authors.
Sign in to reviewLoading community reviews…
Enterprise readiness
Compliance claims are normalized from current vendor documentation and independently reviewed by SOTA2.
Data retention:
Benchmarks and comparisons
Independent benchmarksStructured task results are being verified.
Side-by-side comparisonsComparison workspaces will be available in a later release.
