Accelerating bioinformatics applications via emerging parallel computing systems


The papers in this issue specialise in advanced parallel computing systems for bioinformatics applications. This papers offer a forum to publish recent advances in the advance of handling bioinformatics problems on emerging parallel computing systems. These systems can be characterised by exploiting different sorts of parallelism, as well as fine-grained versus coarse-grained and thread-level parallelism versus datalevel parallelism versus request-level parallelism. Hence, parallel computing systems based on multi- and many-core CPUs, several-core GPUs, vector processors, or FPGAs provide the promise to massively accelerate many bioinformatics algorithms and applications, ranging from computeintensive to data-intensive. Such computing systems are increasingly ubiquitous, starting from ???huge iron??? datacenter supercomputers and datacenter cloud computing down to GPU-accelerated smartphones and laptops.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Accelerating Irregular Computation in Massive Short Reads Mapping on FPGA Co-ProcessorABSTRACT:Because there's an enormous quantity of genomic information, next-generation sequencing (NGS) applications cause important
PROJECT TITLE :Lead beyond. Accelerating innovative women who change the worldABSTRACT:Offers data on The IEEE Women in Engineering Second Annual International Leadership Conference, held twenty three???twenty five April 2015
PROJECT TITLE :Accelerating Fully Homomorphic Encryption in HardwareABSTRACT:We gift a custom design for realizing the Gentry-Halevi fully homomorphic encryption (FHE) scheme. This contribution presents the primary full realization
PROJECT TITLE :Accelerating Application Start-up with Nonvolatile Memory in Android SystemsABSTRACT:Application launch time in mobile systems is vital in many cases as a result of it can adversely have an effect on user expertise.
PROJECT TITLE :Accelerating single-image super-resolution polynomial regression in mobile devicesABSTRACT:This paper introduces a brand new super-resolution algorithm based on machine learning along with a completely unique hybrid

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry