The use of reduced precision to improve performance metrics such as computation latency
and power consumption is a common practice in the embedded systems field. This practice …

Real-time video analytics on the edge is challenging as the computationally constrained
resources typically cannot analyse video streams at full fidelity and frame rate, which results …

The increasing availability of very low precisions (tfloat32, fp16, bfloat16, fp8) in hardware
pushes modern high performance computing to embrace mixed precision standards. By …

This position paper aims to identify the current and future challenges in application,
workload or service deployment mechanisms in Cloud-to-Edge environments. We argue that …

The increased degree of concurrent operations by lower precision arithmetic enables high
performance for iterative refinement. Most of related work present statically defined mixed …

Mixed-precision computation has been proposed as a means to accelerate iterative
algorithms as it can reduce the memory bandwidth and cache effectiveness. This paper aims …

Floating-Point (FP) units in processors are generally limited to supporting a subset of formats
defined by the IEEE 754 standard. As a result, high-efficiency languages and optimizing …

This paper proposes software-defined floating-point number formats for graph processing
workloads, which can improve performance in irregular workloads by reducing cache …

The practical deployment of machine vision presents particular challenges for resource
constrained edge devices. With a clear need to execute multiple tasks with variable …

Mixed-precision is a paradigm that tries to combine computations with different levels of
precision to compose results. This approach has been used extensively to optimize scientific …