PANA: A Fine-Grained Runtime-Adaptive Load Balancing for Parallel SpMV on Multicore CPUs

SpMV has been widely utilized and is regarded as a significant kernel in various scientific and engineering computing applications, where its parallel performance is heavily influenced by matrix sparsity and hardware architecture. Despite extensive prior research, static partitioning strategies that narrowly target computation or memory access remain a key performance bottleneck, severely stifling performance advancement of SpMV on modern multicore CPUs.