DecGPUis the first parallel and distributed error correction algorithm for high-throughput short reads using CUDA and MPI parallel programming models. Performan evaluation using simulated and real datasets revealed that our algorithm demonstrates superior performance, in terms of error correction quality and execution speed, to the Hybrid SHREC error correction algorithm The distributed feature of our algorithm makes it feasible and flexible for the error correction of large-scale datasets.
- CUDA toolkits and SDK 2.0 or higher.
:: MORE INFORMATION
Yongchao Liu, Bertil Schmidt, Douglas L. Maskell:
“DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI“.
BMC Bioinformatics, 2011, 12:85.