Array Fire. Faster Code
Array Fire. Faster Code
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Recent academic research has been awakening to the disaggregated datacenter phenomenon already happening as the “next big thing” in the industry, as evidenced by the following excerpts from the Network Support for Resource Disaggregation...
You’d be forgiven for thinking that Microsoft had sidelined further development on DirectX, the API group that is integral to running multimedia content on its Windows operating system. The last major release, DirectX 11, appeared in 2009 and in...
alvinashcraft shared this story from Build Azure. So far the servers within Microsoft Azure data centers have been running Intel processors (CPUs). For a long time I’ve wondered if the power efficiency of ARM CPUs could make them more cost effective...
NEW YORK, NY—(Marketwired – May 6, 2015) – Today, at its 2015 Financial Analyst Day taking place at Nasdaq MarketSite, AMD ( NASDAQ : AMD ) provided details on the company's multi–year strategy to drive profitable growth based on delivering next–generation...
Are ARM Servers the new paradigm shift for datacentre designs? The below article from Toptal explains the X86 servers v/s ARM servers as a design consideration for modern datacentres. I am getting old. Back in my day, if you wanted top notch CPU performance...
We are proud to announce another exciting release of the ArrayFire library. This version fixes a critical performance regression in the ArrayFire just in time kernel generation code. We discovered the regression late in the release window for the v3...
We are excited to announce ArrayFire v3.6.2! In this release we have fixed a number of bugs, improved documentation, and added a few features while improving performance as always. We highlight some of the exciting changes below. New features and improvements...
Today we are pleased to announce the release of ArrayFire v3.6. It can be downloaded from these locations: Official installers GitHub repository This latest version of ArrayFire is better than ever! We added several new features that improve the performance...
We are excited to announce ArrayFire v3.5.1! This release focuses on fixing bugs and improving performance. Here are the improvements we think are most important: Performance improvements We've improved element-wise operation performance for the CPU...
Today we are pleased to announce the release of ArrayFire v3.5, our open source library of parallel computing functions supporting CUDA, OpenCL, and CPU devices. This new version of ArrayFire improves features and performance for applications in machine...
ArrayFire | A Tensor Library for Fast GPU Computing
Hardware Neutral Avoid hardware vendor lock-in and high maintenance costs with ArrayFire. With new hardware options every year, low-level CUDA™, oneAPI, or OpenCL code must be changed continually to e...
Generating PTX files from OpenCL code | ArrayFire
Here at ArrayFire, we develop code that will work efficiently on both CUDA and OpenCL platforms. Therefore, it is not uncommon that CUDA code on NVIDIA GPUs will run faster than OpenCL. A very good wa...
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