Differentiable rendering is a technique used in an important emerging class of visual
computing applications that involves representing a 3D scene as a model that is trained from …

Prior work on GPU cache coherence has shown that simple hardware-or software-based
protocols can be more than sufficient. However, in recent years, features such as multi-chip …

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

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 …

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 …

With the skyrocketing advances of process technology, the increased need to process huge
amount of data, and the pivotal need for power efficiency, the usage of Graphics Processing …

We solve the two challenges architects face when designing heterogeneous processors with
cache coherent shared memory. First, we develop an automated tool, called HeteroGen, for …

In recent years, due to their wide availability and ease of programming, GPUs have emerged
as the accelerator of choice for a wide variety of applications including graph analytics and …

This paper extends the reach of General Purpose GPU programming by presenting a
software architecture that supports efficient fine-grained synchronization over global …

Given its high integration density, high speed, byte addressability, and low standby power,
non-volatile or persistent memory is expected to supplement/replace DRAM as main …