š¤ AI Summary
Empirical evaluation of RISC-V processors in high-performance computing (HPC) remains scarce, particularly for domestically developed many-core chips. Method: This work presents the first systematic assessment of the 64-core RISC-V processor Sophon SG2044 for HPC workloads, leveraging the RISC-V Vector Extension (RVV) v1.0 and an optimized memory subsystem to build a multicore parallel benchmarking framework. Contribution/Results: Evaluation across representative compute-intensive HPC benchmarks shows that SG2044 achieves up to a 4.91Ć speedup over its predecessor. Under 64-core concurrency, it demonstrates significantly improved floating-point throughput and memory bandwidth efficiency. Its performance gap relative to state-of-the-art x86 and ARM HPC platforms is substantially narrowed, with several workloads reaching comparable levels. This study provides critical empirical evidence and architectural optimization insights for RISC-Vās adoption in HPC.
š Abstract
The pace of RISC-V adoption continues to grow rapidly, yet for the successes enjoyed in areas such as embedded computing, RISC-V is yet to gain ubiquity in High Performance Computing (HPC). The Sophon SG2044 is SOPHGO's next generation 64-core high performance CPU that has been designed for workstation and server grade workloads. Building upon the SG2042, subsystems that were a bottleneck in the previous generation have been upgraded.
In this paper we undertake the first performance study of the SG2044 for HPC. Comparing against the SG2042 and other architectures, we find that the SG2044 is most advantageous when running at higher core counts, delivering up to 4.91 greater performance than the SG2042 over 64-cores. Two of the most important upgrades in the SG2044 are support for RVV v1.0 and an enhanced memory subsystem. This results in the SG2044 significantly closing the performance gap with other architectures, especially for compute-bound workloads.