Abstract
We present Heterogeneous Parallel Virtual Machine (HPVM), a compiler framework for hardware-agnostic programming on heterogeneous compute platforms. HPVM introduces a hardware-agnostic parallel intermediate representation with constructs for the hierarchical task, data, and pipeline parallelism, including dataflow parallelism, and supports multiple front-end languages. In addition, HPVM provides optimization passes that navigate performance, energy, and accuracy tradeoffs, and includes retargetable back ends for a wide range of diverse hardware targets, including central processing units, graphics processing units, domain-specific accelerators, and field-programmable gate arrays. Across diverse hardware platforms, HPVM optimizations provide significant performance and energy improvements, while preserving object-code portability. With these capabilities, HPVM facilitates developers, domain experts, and hardware vendors in programming modern heterogeneous systems.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 108-117 |
| Number of pages | 10 |
| Journal | IEEE Micro |
| Volume | 42 |
| Issue number | 5 |
| DOIs | |
| State | Published - 2022 |
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Electrical and Electronic Engineering
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