However, you need to buy a copy of the Windows OS distinctly from your Mac. PCs overlook a basic functionality of the Mac OS lineup- you can use Windows on them. We ran all of our benchmarks on a 192-core, 384-thread, Xeon-powered supercomputing node at our university, which allowed us to run our tests at very high levels of parallelism.In the most common “which is the better” argument between PC’s and Macs, PC proves to be the best by advocating characteristics and features of Windows OS. We also consulted Intel vTune during our investigation into oneTBB's source code. Technologies UsedĪs mentioned previously, we used DPC++ and oneTBB. Although we had some struggles doing so, after the report was written, we were able to meet with Intel employees to get more details about oneTBB's implementation which explained its performance, and learned why our changes did not have the expected effect. We tried investigating oneTBB's source code to learn how it is able to achieve its level of performance. We converted several OpenMP benchmarking suites to use oneTBB.

Specifically, we looked at the GNU and LLVM implementations of OpenMP and XQueue, which is an OpenMP implementation that uses a completely lock-free scheduler. We used our benchmarks to measure the maximum theoretical throughput in tasks per second, using noop tasks measured the load balancing capabilities of the scheduler by keeping track of how many tasks each logical thread was processing during execution and compared the performance of oneTBB to other parallel programming libraries. Methodology / Approachįor our testing, we created a series of benchmarking programs. We have written a technical report detailing the results of our testings and our findings. We concluded that DPC++ and oneTBB are both well-suited for very-fined grained workloads, and specifically that oneTBB outperformed similar parallel programming libraries in many of our tests. Some parallel programming libraries struggle performance-wise when dealing with tasks of this size, and we wanted to determine if oneTBB fit into this category or not. An example of a very-fined grained workload is recursive Fibonacci, which creates a task for each step of the computation that may consist of only a few instructions.

The goal of the project was to become familiar with Intel oneAPI, specifically DPC++ and oneTBB, and then evaulate their suitability for very fine-grained parallelism.

Free parallel program for mac