Cache Oblivious Strategies to Exploit Multi-Level Memory on Manycore Systems.
Abstract not provided.
Butcher, Neil↗
Engineering topics
Kogge, Peter
Publications and source records attributed to Kogge, Peter.
Machine Learning Algorithm Performance on the Lucata Computer
A new parallel computing paradigm (processor in memory, or PIM) has recently become available, one that uses many lightweight threads, and where each thread migrates automatically to the memory used by that thread. Our effort focuses on understanding how suitable this architecture is for our application, and whether the hardware can sustain speedups as high as the system size permits. In particular we explore the kind of code optimizations needed, and how well optimized code scales. This paper describes some of the those optimizations, and the payoff in terms of scaling.
Kogge, Peter↗
Multi-Level Memory Algorithmics for Large, Sparse Problems
In this report, we abstract eleven papers published during the project and describe preliminary unpublished results that warrant follow-up work. The topic is multi-level memory algorithmics, or how to effectively use multiple layers of main memory. Modern compute nodes all have this feature in some form.
97 MATHEMATICS AND COMPUTING↗