Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While AI makes it easier to design DSPs, there are rising complexities due to the ...
Abstract: The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based ...
ParAMD is a shared memory parallel implementation of the approximate minimum degree (AMD) algorithm with multiple elimination via distance-2 independent sets. For more information, please read our ...
Explore technical features and comparative strengths of MaxQuant, Proteome Discoverer, FragPipe, and DIA-NN workflows.
Abstract: Multi-Robot Path Planning (MRPP) on graphs, also known as Multi-Agent PathFinding (MAPF), is a well-established NP-hard problem with critically important applications. In (near)-optimally ...
We took this version of HeCBench and are modifying it to build the CUDA and OMP codes to gather their roofline performance data. So far we have a large portion of the CUDA and OMP codes building ...
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