Far memory, where memory accesses are non-local, has become more popular in recent
years as a solution to expand memory size and avoid memory stranding. Prior far memory …

The power-efficient massively parallel Graphics Processing Units (GPUs) have become
increasingly influential for general-purpose computing over the past few years. However …

Off-chip main memory has long been a bottleneck for system performance. With increasing
memory pressure due to multiple on-chip cores, effective cache utilization is important. In a …

On modern computer systems, the memory performance of an application depends on its
locality. For a single execution, locality-correlated measures like average miss rate or …

Attention mechanisms, primarily designed to capture pairwise correlations between words,
have become the backbone of machine learning, expanding beyond natural language …

GPU implementations of HPC applications relying on finite difference methods can include
tens of kernels that are memory-bound. Kernel fusion can improve performance by reducing …

The traditional approach to worst-case static-timing analysis is becoming unacceptably
conservative due to an ever-increasing number of circuit and process effects. We propose a …

While the memory of most machines is organized as a hierarchy, program data are laid out
in a uniform address space. This paper defines a model of reference affinity, which …

The performance of Graphic Processing Units (GPU) is sensitive to irregular memory
references. Some recent work shows the promise of data reorganization for eliminating non …

Because of their tremendous computing power and remarkable cost efficiency, GPUs
(graphic processing unit) have quickly emerged as a kind of influential platform for high …