Since the end of Dennard scaling and Moore's Law have been foreseen, specialized
hardware has become the focus for continued scaling of application performance …

Reconfigurable units such as Field Programmable Gate Arrays (FPGAs) have been used
widely as high-performance hardware accelerators for a variety of applications and offer a …

As the size of available data is increasing, it is becoming inefficient to scale the
computational power of traditional systems. To overcome this problem, customized …

The data volume used in online analytical processing (OLAP) applications is rapidly
increasing because of the increasing popularity of various Web services and emerging …

A huge amount of data is being generated and accumulated in data centers, which leads to
an important increase in the required energy consumption to analyze these data. Thus, we …

This paper introduces an FPGA-based scheme to accelerate mpiBLAST, which is a parallel
sequence alignment algorithm for computational biology. Recent rapidly growing biological …

Ever increasing power consumption has created great interest in energy-efficient
microserver architectures but they lack the computational, networking, and storage power …

This paper introduces an FPGA-based scheme to accelerate mpiBLAST, which is a parallel
sequence alignment algorithm for computational biology. Recent rapidly growing biological …

Reverse time migration (RTM) modeling is a computationally intensive component in the
seismic processing workflow of oil and gas exploration, often demanding the manipulation of …

Since the invention of the first programmable CPU (Central Processing Unit), the need for
more capable computing machines has been growing by leaps and bounds. This has …