In this paper, we consider the problem of implementation of neural network in the context of the level 2 trigger of HESS2 project. We propose a hardware architecture which which ta...
Dot-products are one of the essential and recurrent building blocks in scientific computing, and often take-up a large proportion of the scientific acceleration circuitry. The ac...
FPGAs normally operate at whatever clock rate is appropriate for the loaded configuration. When FPGAs are used as computational devices in a larger system, however, it is better ...
Creating a high throughput sparse matrix vector multiplication (SpMxV) implementation depends on a balanced system design. In this paper, we introduce the innovative SpMxV Solver ...
Junqing Sun, Gregory D. Peterson, Olaf O. Storaasl...
Using FPGAs to accelerate High Performance Computing (HPC) applications is attractive, but has a huge associated cost: the time spent, not for developing efficient FPGA code but fo...