Field Programmable Gate Arrays (FPGAs) are used not only for rapid prototyping but also for implementing very high-performance computing engines. Advancements in big data, machine learning, and neural network are increasing ...

The epidemics of diabetes and obesity, along with unhealthy and stressful lifestyles, have highly contributed to the increased number of patients with heart failure in recent times. As the saying goes, “Prevention is ...

In the field of High Performance Computing, Field Programmable Gate Arrays are growing exponentially. The use of the High Level Synthesis Tools has resulted in an increase in the applications which are intensive in ...

Field Programmable Gate Arrays (FPGAs) are taking over the conventional processors in the field of High Performance computing. With the advent of FPGA architectures and High level synthesis tools, FPGAs can now be easily ...

Thermal aware design methodologies are gaining increased attention in the age of high performance computing. The emergence of three dimensional integration has opened up a world of possibilities in the realm of high density ...

The extensive research and continuous improvements in sound processing strategies play a significant role in the advancement of cochlear implants and hearing aid technologies. Cochlear implants are characterized by different ...

Today's processing applications, such as machine learning and text mining, are becoming more complex and process large amounts of data. Computational demands imposed by such applications are not easily met by traditional ...

With the improvement in processing systems, machine learning applications are finding widespread use in almost all sectors of technology. Image recognition is one application of machine learning which has become widely ...

In the field of field programmable gate array (FPGA), High-level synthesis (HLS) has shown to be a valid contender to traditional RT-Level based VLSI design based on low-level hardware Description Languages (HDLs) such ...

Many classes of applications exhibit significant tolerance to inaccuracies in their computations. Some examples include image processing, multimedia applications, and machine learning. These inaccuracies can be exploited ...