macOS 10.14 Mojave tests complete
November 29, 2018
We've been testing long and thoroughly, and so it's time to inform you that many of our latest software applications and hardware devices are officially macOS 10.14 compatible. There might be a few glitches here and there but it's nothing we cannot fix with a few upcoming patches that will be available to our current range of products shortly.
We ask you to refer to the Help Center articles below for an entire status overview as well as check your product's system requirements on our website.
Software compatibility list
Hardware compatibility list
We ask you to refer to the Help Center articles below for an entire status overview as well as check your product's system requirements on our website.
Software compatibility list
Hardware compatibility list
Title Developer/publisher Release date Genre License Mac OS versions A-10 Attack! Parsoft Interactive 1995 Flight simulator Abandonware 7.5–9.2.2. MacOS Big Sur supports most Mac models introduced in 2013 and later. View compatible Mac models. Before you upgrade, make a complete backup with Time Machine, or store your files in iCloud. Learn how to back up your Mac.
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NVIDIA just released its GPGPU technology i.e. the infrastructure for performing general purpose computing on its graphics cards, for Mac OS X. This technology is called “Compute Unified Device Architecture” or simply CUDA and it essentially provides a programmer with a C-compiler that creates executables that run on their GPUs.
CUDA also includes some common optimized libraries like BLAS and FFT and sample code that would help one get started. There is a lot more information and resources available on the NVIDIA CUDA website. CUDA has been available on Windows and Linux for some time, but it was just released for Mac OS X. It supports the MacBook Pro with 256MB NVIDIA GeForce 8600M GT and Mac Pro with either NVIDIA Quadro FX5600 or GeForce 8800 GT. Also, one needs the most current update to Leopard installed i.e. 10.5.2.
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There are several applications that use GPU based optimizations, including some very familiar ones, for example: [email protected]. GPGPU computing is a new trend in scientific computing that leverages the fact that graphics processor performance is increasing at a much higher rate than standard processors. We have discussed this upcoming trend before on MacResearch and hoped for OS X support. And now, we have it! I hope to write more about CUDA once I have had a chance to give it serious try.
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In a similar spirit is the design of the Cell processor that powers the PlayStation 3. In many ways, the Cell is sort of like the middle ground between the traditional CPU and GPU, offering advantages of both. And I have experimented with the Cell quite thoroughly over the past year, oftenreporting in detail at MacResearch.