An often overlooked way to increase the efficiency of HPC on FPGA is to tailor, as tightly as possible, the arithmetic to the application. An ideally efficient implementation would, for each of its operations, toggle and transmit just the number of bits required by the application at this point. Conventional microprocessors, with their word-level granularity and fixed memory hierarchy, keep us away from this ideal. FPGAs, with their bit-level granularity, have the potential to get much closer. Therefore, reconfigurable computing should systematically investigate, in an application-specific way, non-standard precisions, but also non-standard number systems and non-standard arithmetic operations. The purpose of this chapter is to review these...
Since the apparition of the first computer, floating point arithmetic have drastically changed. The ...
This work presents an approach for accelerating arbitrary-precision arithmetic on high-performance r...
This work presents an approach for accelerating arbitrary-precision arithmetic on high-performance r...
An often overlooked way to increase the efficiency of HPC on FPGA is to tailor, as tightly as possib...
This article addresses the development of complex, heavily parameterized and flexible operators to b...
Many computationally intensive scientific applications involve repetitive floating point operations ...
Arithmetic operations are among the most frequently-used operations in contemporary digital integrat...
De plus en plus de constructeurs proposent des accélérateurs de calculs à base de circuits reconfigu...
It has been shown that FPGAs could outperform high-end microprocessors on floating-point computation...
Due to their potential performance and unmatched flexibility, FPGA-based accelerators are part of mo...
This book is concerned with the emerging field of High Performance Reconfigurable Computing (HPRC), ...
International audienceError-tolerating applications are increasingly common in the emerging field of...
The high performance and capacity of current FPGAs makes them suitable as acceleration co-processors...
En plus des cœurs de CPU traditionnels, d'autres unités de traitementsont utilisées par la communaut...
The advent of reconfigurable co-processors based on field-programmable gate arrays has renewed inter...
Since the apparition of the first computer, floating point arithmetic have drastically changed. The ...
This work presents an approach for accelerating arbitrary-precision arithmetic on high-performance r...
This work presents an approach for accelerating arbitrary-precision arithmetic on high-performance r...
An often overlooked way to increase the efficiency of HPC on FPGA is to tailor, as tightly as possib...
This article addresses the development of complex, heavily parameterized and flexible operators to b...
Many computationally intensive scientific applications involve repetitive floating point operations ...
Arithmetic operations are among the most frequently-used operations in contemporary digital integrat...
De plus en plus de constructeurs proposent des accélérateurs de calculs à base de circuits reconfigu...
It has been shown that FPGAs could outperform high-end microprocessors on floating-point computation...
Due to their potential performance and unmatched flexibility, FPGA-based accelerators are part of mo...
This book is concerned with the emerging field of High Performance Reconfigurable Computing (HPRC), ...
International audienceError-tolerating applications are increasingly common in the emerging field of...
The high performance and capacity of current FPGAs makes them suitable as acceleration co-processors...
En plus des cœurs de CPU traditionnels, d'autres unités de traitementsont utilisées par la communaut...
The advent of reconfigurable co-processors based on field-programmable gate arrays has renewed inter...
Since the apparition of the first computer, floating point arithmetic have drastically changed. The ...
This work presents an approach for accelerating arbitrary-precision arithmetic on high-performance r...
This work presents an approach for accelerating arbitrary-precision arithmetic on high-performance r...