Many properties of the IEEE-754 floating-point number system are taken for granted in
modern computers and are deeply embedded in compilers and low-level software routines …

Reconfigurable architectures can bring unique capabilities to computational tasks. They
offer the performance and energy efficiency of hardware with the flexibility of software. In …

High Performance Computing (HPC) or scientific codes are being executed across a wide
variety of computing platforms from embedded processors to massively parallel GPUs. We …

This paper introduces a unified approach to the validation of power-electronics (PE) control
hardware, firmware, and software designs. It is based on a scalable application-specific …

The posit number system is proposed as a replacement of IEEE floating-point numbers. It is
a floating-point system that trades exponent bits for significand bits, depending on the …

Post-training quantization (PTQ) is a powerful technique for model compression, reducing
the numerical precision in neural networks without additional training overhead. Recent …

Custom operators, working at custom precisions, are a key ingredient to fully exploit the
FPGA flexibility advantage for high-performance computing. Unfortunately, such operators …

We propose a hardware generator of GEMM accelerators. Our generator produces vendor-
agnostic HDL describing highly customizable systolic arrays guided by accuracy and energy …

Machine Learning (ML) is ubiquitous in contemporary applications. Its need for efficient
acceleration has driven vast research efforts into the quantization of neural networks with …

In today's smart and fast computing world, the designing of high speed and low energy
consumption based Digital Signal Processors (DSPs) is a realistic and ever embryonic area …