Heterogeneous systems equipped with traditional processors (CPUs) and graphics processing units (GPUs) have enabled processing large data sets. With new programming models, such as OpenCL and CUDA, programmers are encouraged to offload data parallel work-loads to GPUs as much as possible in order to fully utilize the avail-able resources. Unfortunately, offloading work is strictly limited by the size of the physical memory on a specific GPU. In this pa-per, we present Virtual Address Space for Throughput processors (VAST), an automatic GPU memory management system that pro-vides an OpenCL program with the illusion of a virtual memory space. Based on the available physical memory on the target GPU, VAST does the following: automatically part...
Recent developments in processor architecture have settled a shift from sequential processing to par...
Programmer-managed GPU memory is a major challenge in writing GPU applications. Programmers must rew...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
Advances in virtualization technology have enabled multiple virtual machines (VMs) to share resource...
Graphics processing units (GPUs) have become prevalent in modern computing systems. While their high...
Graphics processing units (GPUs) have been widely used for general-purpose computation acceleration....
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Main memory bandwidth is a critical bottleneck for modern GPU systems due to limited off-chip pin ba...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
With processor clock speeds having stagnated, parallel computing architectures have achieved a break...
DoctorHeterogeneous systems consisting of several types of processors have become prevalent. Today, ...
Parallel programming is about performance, for otherwise we’d write a sequential program. A problem ...
Graphics Processing Units (GPUs) have been successfully used to accelerate scientific applications d...
Parallelism is ubiquitous in modern computer architectures. Heterogeneity of CPU cores and deep memo...
Big Data applications are trivially parallelizable because they typically consist of simple and stra...
Recent developments in processor architecture have settled a shift from sequential processing to par...
Programmer-managed GPU memory is a major challenge in writing GPU applications. Programmers must rew...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
Advances in virtualization technology have enabled multiple virtual machines (VMs) to share resource...
Graphics processing units (GPUs) have become prevalent in modern computing systems. While their high...
Graphics processing units (GPUs) have been widely used for general-purpose computation acceleration....
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Main memory bandwidth is a critical bottleneck for modern GPU systems due to limited off-chip pin ba...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
With processor clock speeds having stagnated, parallel computing architectures have achieved a break...
DoctorHeterogeneous systems consisting of several types of processors have become prevalent. Today, ...
Parallel programming is about performance, for otherwise we’d write a sequential program. A problem ...
Graphics Processing Units (GPUs) have been successfully used to accelerate scientific applications d...
Parallelism is ubiquitous in modern computer architectures. Heterogeneity of CPU cores and deep memo...
Big Data applications are trivially parallelizable because they typically consist of simple and stra...
Recent developments in processor architecture have settled a shift from sequential processing to par...
Programmer-managed GPU memory is a major challenge in writing GPU applications. Programmers must rew...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...