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Beehive SPIR-V Toolkit: A Composable and Functional API for Runtime SPIR-V Code Generation

A Composable and Functional API for Runtime SPIR-V Code Generation
Authors: Fumero, Juan; Rethy, György; Stratikopoulos, Athanasios; Foutris, Nikos; Kotselidis, Christos;

Beehive SPIR-V Toolkit: A Composable and Functional API for Runtime SPIR-V Code Generation

Abstract

The Standard Portable Intermediate Representation (SPIR-V) is a low-level binary format designed for representing shaders and compute kernels that can be consumed by OpenCL for computing kernels, and Vulkan for graphics rendering. As a binary representation, SPIR-V is meant to be used by compilers and runtime systems, and is usually performed by C/C++ programs and the LLVM software and compiler ecosystem. However, not all programming environments, runtime systems, and language implementations are C/C++ or based on LLVM. This paper presents the Beehive SPIR-V Toolkit; a framework that can automatically generate a Java composable and functional library for dynamically building SPIR-V binary modules. The Beehive SPIR-V Toolkit can be used by optimizing compilers and runtime systems to generate and validate SPIR-V binary modules from managed runtime systems. Furthermore, our framework is architected to accommodate new SPIR-V releases in an easy-to-maintain manner, and it facilitates the automatic generation of Java libraries for other standards, besides SPIR-V. The Beehive SPIR-V Toolkit also includes an assembler that emits SPIR-V binary modules from disassembled SPIR-V text files, and a disassembler that converts the SPIR-V binary code into a text file. To the best of our knowledge, the Beehive SPIR-V Toolkit is the first Java programming framework that can dynamically generate SPIR-V binary modules. To demonstrate the use of our framework, we showcase the integration of the SPIR-V Beehive Toolkit in the context of the TornadoVM, a Java framework for automatically offloading and running Java programs on heterogeneous hardware. We show that, via the SPIR-V Beehive Toolkit, TornadoVM is able to compile code 3x faster than its existing OpenCL C JIT compiler, and it performs up to 1.52x faster than the existing OpenCL C backend in TornadoVM.

VMIL 2023: Proceedings of the 15th ACM SIGPLAN International Workshop on Virtual Machines and Intermediate Languages

ISBN:978-8-4007-0401-7

Keywords

Library, API; Library; Java; Metaprogramming; Runtime Code Generation; SPIR-V, API, Meta-programming, Runtime Code Generation, SPIR-V, Java, Metaprogramming

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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