CuCLARK is a metagenomic classifier for CUDA-enabled GPUs, based on CLARK. Authored by Robin Kobus at the Institute of Computer Science, JGU Mainz, Germany.
CuCLARK is a metagenomic classifier for CUDA-enabled GPUs, based on CLARK. Authored by Robin Kobus at the Institute of Computer Science, JGU Mainz, Germany.
Metagenomic classifier for CUDA-enabled GPUs, based on CLARK, designed for workstations with sufficient RAM for large databases and an arbitrary number of CUDA-enabled GPUs.
Lightweight metagenomic classifier for CUDA-enabled GPUs, using a much smaller database, runnable on computers with 4 GB RAM and a CUDA-enabled GPU with at least 1 GB of memory.
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Jen Peck Senior Director of Engineering @ RedfinCuCLARK customer
“At Uber, we continuously strive to improve our developer experience. We migrated code hosting and review to GitHub and are adopting GitHub Copilot to boost overall developer productivity.”
Ali-Reza Adl-Tabatabai Senior Director of Engineering @ UberCuCLARK customer
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