In the embedded system applications the combination of data-processing and system throughput requirements is constantly increasing. Implementing the algorithm purely in software becomes constantly more difficult because of system power, cost and the limited CPU’s processing capacity. Among all the possible options customizing the CPU’s instruction set for the specific application and using multiple CPU cores are the most common. A very different approach is the migration of performance-hungry elements of the algorithm into hardware to generate hardware accelerators. A hardware accelerator is a block of logic that implements on silicon the same functions performed by the processor but faster and with a silicon area occupation. This methodolo...
Field programmable gate arrays or FPGAs are the Swiss army knife of the compute accelerators. They a...
This paper discusses a method of hardware synthesis for re-configurable heterogeneous pipelined acce...
The rate of increase in computing performance has been slowing due to the end of processor frequency...
Embedded systems are now increasingly used to replace typical Personal Computers (PCs) in many appli...
As the scaling down of transistor size no longer provides boost to processor clock frequency, there ...
It is generally accepted that a custom hardware implementation of a set of computations will provide...
A hardware implementation can bring orders of magnitude improvements in performance and energy consu...
International audienceThanks to efficient scheduling, resource sharing, and finite-state machines ge...
Embedded system designers can achieve energy and performance benefits by using dedicated hardware ac...
A hardware implementation can bring orders of magnitude improvements in performance and energy cons...
Modern Systems-on-Chip (SoC) architectures and CPU+FPGA computing platforms are moving towards heter...
Abstract—Thanks to efficient scheduling, resource sharing, and finite-state machines generation, hig...
Specialized accelerators can exploit spatial parallelism on both operations and data thanks to a ded...
There is today an ever-increasing demand for more computational power coupled with a desire to minim...
Modern embedded systems must execute a variety of high performance real-time tasks, such as audio an...
Field programmable gate arrays or FPGAs are the Swiss army knife of the compute accelerators. They a...
This paper discusses a method of hardware synthesis for re-configurable heterogeneous pipelined acce...
The rate of increase in computing performance has been slowing due to the end of processor frequency...
Embedded systems are now increasingly used to replace typical Personal Computers (PCs) in many appli...
As the scaling down of transistor size no longer provides boost to processor clock frequency, there ...
It is generally accepted that a custom hardware implementation of a set of computations will provide...
A hardware implementation can bring orders of magnitude improvements in performance and energy consu...
International audienceThanks to efficient scheduling, resource sharing, and finite-state machines ge...
Embedded system designers can achieve energy and performance benefits by using dedicated hardware ac...
A hardware implementation can bring orders of magnitude improvements in performance and energy cons...
Modern Systems-on-Chip (SoC) architectures and CPU+FPGA computing platforms are moving towards heter...
Abstract—Thanks to efficient scheduling, resource sharing, and finite-state machines generation, hig...
Specialized accelerators can exploit spatial parallelism on both operations and data thanks to a ded...
There is today an ever-increasing demand for more computational power coupled with a desire to minim...
Modern embedded systems must execute a variety of high performance real-time tasks, such as audio an...
Field programmable gate arrays or FPGAs are the Swiss army knife of the compute accelerators. They a...
This paper discusses a method of hardware synthesis for re-configurable heterogeneous pipelined acce...
The rate of increase in computing performance has been slowing due to the end of processor frequency...