Abstract Digital Signal Processors (DSPs) have been widely used in embedded domains,
delivering high performance with ultra-low power consumption. Such promises make it …

Heterogeneous systems employ specialization for energy efficiency. Since data movement
is expected to be a dominant consumer of energy, these systems employ specialized …

We propose ApproxHPVM, a compiler IR and system designed to enable accuracy-aware
performance and energy tuning on heterogeneous systems with multiple compute units and …

Increasing demand for power-efficient, high-performance computing has spurred a growing
number and diversity of hardware accelerators in mobile Systems on Chip (SoCs) as well as …

Exascale computing requires accelerators with ultrahigh power efficiency. Digital signal
processors (DSPs), the most important embedded processors widely known for high power …

Graphics processing units (GPUs) are an important class of parallel processors that offer
high compute throughput and memory bandwidth. GPUs are used in a variety of important …

High performance implementation of matrix multiplication is essential for scientific
computing. The memory access procedure is quite possible to be the bottleneck of matrix …

We design an efficient DMA controller for scientific computing accelerators. It supports
several flexible and powerful transfers, including reshape transfers, parameter linking …

Graphics processing units (GPUs) are increasingly utilized as throughput engines in the
modern computer systems. GPUs rely on fast context switching between thousands of …

A modern GPU aims to simultaneously execute more warps for higher Thread-Level
Parallelism (TLP) and performance. When generating many memory requests, however …