This paper presents an in-depth look of how FPGA computing can offer substantial
speedups in the execution of bioinformatics algorithms, with specific results achieved to date …

While genomics have significantly advanced modern biological achievements, it requires
extensive computational power, traditionally employed on large-scale cluster machines as …

The use of GPGPU programming paradigm (running CUDA-enabled algorithms on GPU
cards) in Bioinformatics showed promising results [1]. As such a similar approach can be …

The quest for advancement in healthcare diagnosis, monitoring and therapy, all key aspects
of improving the quality of life, becomes heavily dependent on high-performance, real-time …

To reduce the average memory access time, most current processors make use of a
multilevel cache subsystem. However, despite the proven benefits of such cache structures …