Graphics Processing Units (GPUs) use caches to provide on-chip bandwidth as a way to
address the memory wall. However, they are not always efficiently utilized for optimal GPU …

Graphics Processing Units (GPUs) are the accelerator of choice in a variety of application
domains, because they can accelerate massively parallel workloads and can be easily …

Pricing assets has attracted significant attention from the financial technology community.
We observe that the existing solutions overlook the cross-sectional effects and not fully …

Programming on a GPU has been made considerably easier with the introduction of Virtual
Memory features, which support common pointer-based semantics between the CPU and …

Graphics Processing Units (GPUs) concurrently execute thousands of threads, which makes
them effective for achieving high throughput for a wide range of applications. However, the …

The many-body correlation function is a fundamental computation kernel in modern physics
computing applications, eg, Hadron Contractions in Lattice quantum chromodynamics …

With generational gains from transistor scaling, GPUs have been able to accelerate
traditional computation-intensive workloads. But with the obsolescence of Moore's Law …

Stencil codes (aka nearest-neighbor computations) are widely used in image processing,
machine learning, and scientific applications. Stencil codes incur nearest-neighbor data …

In this work, we aim to capture replicated cache requests between Stream Multiprocessors
(SMs) within an SM cluster to alleviate the Network-on-Chip (NoC) congestion problem of …

Large-scale interactive web services and advanced AI applications make sophisticated
decisions in real-time, based on executing a massive amount of computation tasks on …