Search Results for "fast performance"
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Showing 5 open source projects for "fast performance"
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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ViennaCL
Linear algebra and solver library using CUDA, OpenCL, and OpenMP
ViennaCL provides high level C++ interfaces for linear algebra routines on CPUs and GPUs using CUDA, OpenCL, and OpenMP. The focus is on generic implementations of iterative solvers often used for large linear systems and simple integration into existing projects. -
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CUSHAW2: Parallel Gapped Read Alignment
One of the leading short-/long-read aligner to large genomes
CUSHAW2 is a fast and parallel gapped read alignment to large genomes, such as the human genome. The performance evaluation, by aligning simulated and real datasets to the human genome, shows that CUSHAW2 is consistently among the highest-ranked aligners in terms of alignment quality for both single-end and paired-end alignment, while demonstrating highly competitive speed. -
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FFT for ARMv6
Fixed point 16/32 integer FFT library for the Raspberry Pi and Android
...It includes hand optimised ARMv6 assembler, demonstrating techniques such as pipeline stuffing to achieve maximum performance. It also demonstrates how to include large chunks of assembler inline with C/C++ thus avoiding ABI issues between platforms. -
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"UltraQueue" is a library (DLL) project, written in C++. This library is intended to be used for very fast temporary data storage, aquired by any possible source (File, Serial Port, ...). Users can create multiple queues of differrent sizes & types
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