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Lessons from Hands-On DGEMM Benchmarking
Using cycle-accurate simulation to explore how RISC-V vector extensions accelerate one of computing’s most important workloads
1. Why Vector Performance Matters
While GPUs dominate large-scale model training, CPUs execute a vast amount of matrix math in inference pipelines, data… Read More
RVA23 marks a turning point in how mainstream CPUs are expected to scale performance. By making the RISC-V Vector Extension (RVV) mandatory, it elevates structured, explicit parallelism to the same architectural status as scalar execution. Vectors are no longer optional accelerators bolted onto speculation-heavy cores.… Read More
