The sequence alignment task in MAGI (magi.ucsd.edu) is based on the miRanda algorithm, but we redesign the miRanda algorithm on GPU by taking its advantages of massively parallel computing and extra high memory bandwidth using using NVIDIA’s Compute Unified Device Architecture (CUDA). The CUDA-miRanda implementation is a fast microRNA target identification algorithm that aligns short nucleotide sequences (i.e., < 32 nucleotides) against longer reference sequences (e.g., 20k nucleotides). It has the ability to report multiple alignments and the corresponding traceback sequences for any given query-reference pair with up to 166x speedup on 4 GPUs compared to regular CPUs.

Project Activity

See All Activity >

Follow cuda-miranda

cuda-miranda Web Site

Other Useful Business Software
Run applications fast and securely in a fully managed environment Icon
Run applications fast and securely in a fully managed environment

Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of scalable infrastructure.

Run frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
Try for free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of cuda-miranda!

Additional Project Details

Registered

2013-12-20