Difference between revisions of "ArrayFire"
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| − | [[Category:Software]][[Category: | + | [[Category:Software]][[Category:Math]] |
{|<!--CONFIGURATION: REQUIRED--> | {|<!--CONFIGURATION: REQUIRED--> | ||
|{{#vardefine:app|arrayfire}} | |{{#vardefine:app|arrayfire}} | ||
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ArrayFire allows your code to run its fastest. It beats efforts to manually write CUDA or OpenCL kernels. It beats compiler optimizations. It beats other libraries. ArrayFire is the simply best way to accelerate your code. | ArrayFire allows your code to run its fastest. It beats efforts to manually write CUDA or OpenCL kernels. It beats compiler optimizations. It beats other libraries. ArrayFire is the simply best way to accelerate your code. | ||
| − | Want proof? Check out our benchmarks. All benchmarks were performed on a NVIDIA Tesla C2050 with an Intel i7-950 processor (updates coming soon). The benchmarks compare ArrayFire with several popular CPU-based acceleration libraries, including Intel Math Kernel Library, Intel Integrated Performance Primitives, | + | Want proof? Check out our benchmarks. All benchmarks were performed on a NVIDIA Tesla C2050 (Tesla GPUs are no longer available) with an Intel i7-950 processor (updates coming soon). The benchmarks compare ArrayFire with several popular CPU-based acceleration libraries, including Intel Math Kernel Library, Intel Integrated Performance Primitives, |
Eigen, and Armadillo. | Eigen, and Armadillo. | ||
<!--Modules--> | <!--Modules--> | ||
| − | == | + | ==Environment Modules== |
| − | + | Run <code>module spider {{#var:app}}</code> to find out what environment modules are available for this application. | |
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==System Variables== | ==System Variables== | ||
| − | * HPC_{{ | + | * HPC_{{uc:{{#var:app}}}}_DIR - installation directory |
<!--Configuration--> | <!--Configuration--> | ||
{{#if: {{#var: conf}}|==Configuration== | {{#if: {{#var: conf}}|==Configuration== | ||
Latest revision as of 14:52, 12 August 2022
Description
ArrayFire allows your code to run its fastest. It beats efforts to manually write CUDA or OpenCL kernels. It beats compiler optimizations. It beats other libraries. ArrayFire is the simply best way to accelerate your code.
Want proof? Check out our benchmarks. All benchmarks were performed on a NVIDIA Tesla C2050 (Tesla GPUs are no longer available) with an Intel i7-950 processor (updates coming soon). The benchmarks compare ArrayFire with several popular CPU-based acceleration libraries, including Intel Math Kernel Library, Intel Integrated Performance Primitives, Eigen, and Armadillo.
Environment Modules
Run module spider arrayfire to find out what environment modules are available for this application.
System Variables
- HPC_ARRAYFIRE_DIR - installation directory