HIPCL
2020pp. 1–3
Citations Over TimeTop 10% of 2020 papers
Abstract
Heterogeneous-compute Interface for Portability (HIP), is an open-source C++ runtime API and a kernel language. It is designed to be compatible with CUDA and to deliver close to native performance on CUDA platforms while exposing additional low-level hardware features. A key use case of HIP is in providing a portability route out from the NVIDIA CUDA platform, which is highlighted with an automated tool that can convert CUDA applications to HIP programs.
Related Papers
- → HIPCL(2020)21 cited
- → On the Portability of CPU-Accelerated Applications via Automated Source-to-Source Translation(2019)12 cited
- → Evaluating CUDA Portability with HIPCL and DPCT(2021)10 cited
- → Understanding Performance Portability of SYCL Kernels: A Case Study with the All-Pairs Distance Calculation in Bioinformatics on GPUs(2023)2 cited
- → Comparing Performance and Portability between CUDA and SYCL for Protein Database Search on NVIDIA, AMD, and Intel GPUs(2023)