Towards high-level synthesis of neural models on FPGAs

Recent trends in studying the brain activity have attracted interest in the simulation of neurons to understand the brain functionality. However, these simulations are computationally intensive and time consuming, which limits this study. High-performance FPGA-based platforms are being utilized to accelerate these simulations. However, the...

A hardware Accelerator for the OpenFOAM Sparse Matrix-Vector Product

One of the key kernels in scientific applications is the Sparse Matrix Vector Multiplication (SMVM). Profiling OpenFOAM, a sophisticated scientific Computational Fluid Dynamics tool, proved the SMVM to be its most computational intensive kernel. A traditional way to solve such computationally intensive problems in scientific applications is to...