In computer architecture, significant innovation frequently comes from industry. However, the
simulation tools used by industry are often not released for open use, and even when they …

Many applications perform frequent scatter update operations to large data structures. For
example, in push-style graph algorithms, processing each vertex requires updating the data …

This monograph grows out of nearly 40 years of experience in synchronization and
concurrent data structures. Though written primarily from the perspective of systems …

This paper presents the first formal analysis of the official memory consistency model for the
NVIDIA PTX virtual ISA. Like other GPU memory models, the PTX memory model is weakly …

In general, the performance of parallel graph processing is determined by three pairs of
critical parameters, namely synchronous or asynchronous execution mode (Sync or Async) …

Current systems hide data movement from software behind the load-store interface.
Software's inability to observe and respond to data movement is the root cause of many …

Recent heterogeneous architectures have trended toward tighter integration and shared
memory largely due to the efficient communication and programmability enabled by this …

Chiplets are transforming computer system designs, allowing system designers to combine
heterogeneous computing resources at unprecedented scales. Breaking larger, mono-lithic …

As GPUs have become more programmable, their performance and energy benefits have
made them increasingly popular. However, while GPU compute units continue to improve in …

GPUs, due to their massively-parallel computing architectures, provide high performance for
data-parallel applications. However, existing GPU simulators are too slow to enable …