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 …

The past year has witnessed the increasing popularity of Large Language Models (LLMs).
Their unprecedented scale and associated high hardware cost have impeded their broader …

A fast and efficient search function across the database has been a core component for a
number of data-intensive tasks in machine learning, IoT applications, and inference …

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 …

The past year has witnessed the increasing popularity of Large Language Models (LLMs).
Their unprecedented scale and associated high hardware cost have impeded their broader …

As GPUs continue to grow in popularity for accelerating demanding applications, such as
high-performance computing and machine learning, GPU architects need to deliver more …

GPUs are powerful, massively parallel processors, which require a vast amount of thread
parallelism to keep their thousands of execution units busy, and to tolerate latency when …

This paper explores the impact of simulator accuracy on architecture design decisions in the
general-purpose graphics processing unit (GPGPU) space. We perform a detailed …

Recent years have witnessed an increasing growth in the usage of GPUs in cloud data
centers. It is known that conventional virtualization techniques are not directly applicable to …

Abstract Graphics Processing Units (GPUs) have been widely used to accelerate artificial
intelligence, physics simulation, medical imaging, and information visualization applications …