2 مستودعات
Awesome GitHub RepositoriesTransparent GPU Array Parallelism
Transparently speeds up array operations by parallelizing them across available CPUs and GPUs without requiring code modifications.
Distinct from Parallel GPU Schedulers: Distinct from Parallel GPU Schedulers: focuses on transparent array-level parallelism, not automated GPU task scheduling.
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Awesome Transparent GPU Array Parallelism GitHub Repositories
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- nvidia/isaac-gr00t
NVIDIA/Isaac-GR00T
6,222عرض على GitHubTransparently speeds up array operations by parallelizing them across available CPUs and GPUs without requiring code modifications.
Jupyter Notebook - acceleratehs/accelerate
AccelerateHS/accelerate
1,012عرض على GitHubAccelerate is a framework for high-performance array computing that provides a domain-specific language for expressing complex mathematical and parallel computations. By utilizing a declarative programming interface, it allows users to define high-level array transformations that are automatically translated into optimized machine code for diverse hardware architectures. The system distinguishes itself through a modular architecture that decouples high-level array operations from hardware-specific instructions. It employs just-in-time compilation and kernel fusion to transform programs into e
Enables parallel array computation by compiling collective operations across parallel hardware architectures like multicore processors and GPUs.
Haskellacceleratecudagpu
