Naive matrix multiply: C = A * B. Each thread computes one element of C: C[row, col] = sum_k A[row, k] * B[k, col] # 2D indexing: derive global row/col from block and thread indices. # blockIdx.y, ...

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...

Abstract: Matrix-vector multiplication (MVM) is the core operation of many important algorithms. Crosspoint resistive memory array enables naturally calculating MVM in one operation, thus representing ...

Abstract: This design presents a system optimized for complex matrix multiplications on the XUP Virtex-II board. Utilizing the GEZEL HW/SW co-simulation environment, the resulting system achieves ~25x ...

* Program re-ordering for improved L2 cache hit rate. * Automatic performance tuning. # Motivations # Matrix multiplications are a key building block of most modern high-performance computing systems.