Our group focuses on the design, implementation and evaluation of scalable tools for genomic sequence analysis (Bioinformatics) and computational science applications. Our approach is based on using modern high performance computing (HPC) technologies, such as

  • Manycore architectures (such as CUDA-enabled GPUs, Intel MIC)
  • Multicore architectures
  • Heterogeneous clusters
  • FPGAs

Using these platforms we design efficient parallel algorithms that can serve as a foundation for a wide variety of tools, such as

For the pioneering work in the area of CUDA-enabled bioinformatics, we have been awarded the status of a GPU Research Center and a GPU Education Center.

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