Sparse and irregular computations constitute a large fraction of applications in the data-intensive scientific domain. While every effort is made to balance the computational wor...
Guangyu Chen, Konrad Malkowski, Mahmut T. Kandemir...
— We consider memory subsystem optimizations for improving the performance of sparse scientific computation while reducing the power consumed by the CPU and memory. We first co...
We characterize the performance and power attributes of the conjugate gradient (CG) sparse solver which is widely used in scientific applications. We use cycle-accurate simulatio...
Konrad Malkowski, Ingyu Lee, Padma Raghavan, Mary ...
We present a simulation-based performance model to analyze a parallel sparse LU factorization algorithm on modern cached-based, high-end parallel architectures. We consider supern...
Performance and power are critical design constraints in today’s high-end computing systems. Reducing power consumption without impacting system performance is a challenge for t...
Rong Ge, Xizhou Feng, Wu-chun Feng, Kirk W. Camero...