The demands of high-performance computing (HPC) and machine learning (ML) workloads
have resulted in the rapid architectural evolution of GPUs over the last decade. The growing …

Bandwidth non-uniformity in multi-chip GPUs poses a major design challenge for its last-
level cache (LLC) architecture. Whereas a memory-side LLC caches data from the local …

With the advancement of processor packaging technology and the looming end of Moore's
law, multi-chip-module (MCM) GPUs become a promising architecture to continue the …

Recent work has shown that building GPUs with hundreds of SMs in a single monolithic chip
will not be practical due to slowing growth in transistor density, low chip yields, and …

Suboptimal management of memory and bandwidth is one of the primary causes of low
performance on systems comprising multiple GPUs. Existing memory management solutions …

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

With the increasing demands of modern workloads, multi-GPU systems have emerged as a
scalable solution, extending performance beyond the capabilities of single GPUs. However …

Recent studies have shown that using fine-grained peer-to-peer (P2P) stores to
communicate among devices in multi-GPU systems is a promising path to achieve strong …

Despite continuing research into inter-GPU communication mechanisms, extracting
performance from multi-GPU systems remains a significant challenge. Inter-GPU …

In real-time rendering applications, mesh rendering quality suffers from limited GPU memory
capacity and display resolution. Due to the increased complexity of models and the demand …