Evaluating SYCL as a Unified Programming Model for Heterogeneous Systems

TL;DR

This paper evaluates SYCL's effectiveness as a unified, cross-platform programming model for heterogeneous systems, highlighting its strengths and limitations through benchmarks and analysis.

Contribution

It provides a comprehensive assessment of SYCL's capabilities and shortcomings, offering insights for improving its portability, productivity, and performance.

Findings

SYCL shows inconsistent support for cross-platform development.

Memory management approaches impact performance and usability.

Benchmark results reveal key limitations in current SYCL implementations.

Abstract

High-performance computing (HPC) applications are increasingly executed in heterogeneous environments, introducing new challenges for programming and software portability. SYCL has emerged as a leading model designed to simplify heterogeneous programming and make it more accessible to developers. Intended as a single-source, cross-platform parallel programming framework, SYCL promises portability, productivity, and performance across a variety of architectures. However, these goals have not been consistently defined or realized, leaving developers with varying expectations. This paper addresses this gap by evaluating SYCL from the perspective of application developers. We analyze whether SYCL meets essential criteria for cross-platform development, including code portability, development productivity, and runtime efficiency. Our evaluation draws on benchmarks and illustrative examples and focuses on SYCL's memory management and parallelism abstractions. We provide detailed comparisons between Unified Shared Memory (USM) and buffer-accessor approaches, as well as between NDRange and hierarchical kernel models. In addition to presenting our own benchmark results on Intel platforms, we synthesize findings from recent studies across multiple SYCL implementations and compilers. Our results expose key limitations and inconsistencies in current SYCL implementations and offer insights into the steps needed to improve the framework's reliability and cross-platform usability.