© 2022 ACM.Recent desktop and mobile processors often integrate CPU and GPU onto the same die. The limited memory bandwidth of these integrated architectures can negatively affect the performance of data-parallel workloads when all computational resources are active. The combination of active CPU and GPU cores achieving the maximum performance depends on a workload's characteristics, making manual tuning a time-consuming task. Dopia is a fully automated framework that improves the performance of data-parallel workloads by adjusting the Degree Of Parallelism on Integrated Architectures. Dopia transparently analyzes and rewrites OpenCL kernels before executing them with the number of CPU and GPU cores expected to yield the best performan...
The scope of computers has been expanding into increasing number of fields. With the growing need fo...
The decline of Moore’s law has led to a fundamental shift in the design of micro-processor architect...
massive parallel processor, has been widely used in general purposed computing tasks. Although there...
Recent desktop and mobile processors often integrate CPU and GPU onto the same die. The limited memo...
Heterogeneous parallel architectures like those comprised of CPUs and GPUs are a tantalizing compute...
With processor clock speeds having stagnated, parallel computing architectures have achieved a break...
In writing parallel programs, programmers expose parallelism and optimize it to meet a particular pe...
Recent developments in processor architecture have settled a shift from sequential processing to par...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
• OpenCL is a Platform API which supports a uniform programming environment across devices – Enables...
Parallelism is ubiquitous in modern computer architectures. Heterogeneity of CPU cores and deep memo...
Modern computer systems are becoming increasingly heterogeneous by comprising multi-core C...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
Application programming for modern heterogeneous systems which comprise multi-core CPUs and multiple...
The scope of computers has been expanding into increasing number of fields. With the growing need fo...
The decline of Moore’s law has led to a fundamental shift in the design of micro-processor architect...
massive parallel processor, has been widely used in general purposed computing tasks. Although there...
Recent desktop and mobile processors often integrate CPU and GPU onto the same die. The limited memo...
Heterogeneous parallel architectures like those comprised of CPUs and GPUs are a tantalizing compute...
With processor clock speeds having stagnated, parallel computing architectures have achieved a break...
In writing parallel programs, programmers expose parallelism and optimize it to meet a particular pe...
Recent developments in processor architecture have settled a shift from sequential processing to par...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
• OpenCL is a Platform API which supports a uniform programming environment across devices – Enables...
Parallelism is ubiquitous in modern computer architectures. Heterogeneity of CPU cores and deep memo...
Modern computer systems are becoming increasingly heterogeneous by comprising multi-core C...
OpenCL, a modern parallel heterogeneous system programming language, enables problems to be partitio...
Application programming for modern heterogeneous systems which comprise multi-core CPUs and multiple...
The scope of computers has been expanding into increasing number of fields. With the growing need fo...
The decline of Moore’s law has led to a fundamental shift in the design of micro-processor architect...
massive parallel processor, has been widely used in general purposed computing tasks. Although there...