Add to ORKGGPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GPUs offers high application performance by offloading compute-intensive portions of the code to the GPU. The course covers basic aspects of GPU architectures and programming. Focus is on the usage of the directive-based OpenACC programming model which allows for portable application development. Examples of increasing complexity are used to demonstrate optimization and tuning of scientific applications
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
The goal of the chapter is to introduce the upper-level Computer Engineering/Computer Science underg...
Original article can be found at : http://portal.acm.org/ Copyright ACM [Full text of this article i...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
This 2h tutorial interactively teaches how to handle the massive computing performance offered by PO...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
Graphics processing units and similar accelerators have been intensively used in general purpose com...
GPUs, Graphics Processing Units, offer a large amount of processing power by providing a platform fo...
In the tutorial, attendees will learn how to leverage the full performance offered by GPU-equipped I...
In recent years, GPU computing has been very popular for scientific applications, especially after t...
GPUs, Graphics Processing Units, offer a large amount of processing power by providing a platform fo...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
The goal of the chapter is to introduce the upper-level Computer Engineering/Computer Science underg...
Original article can be found at : http://portal.acm.org/ Copyright ACM [Full text of this article i...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
OpenACC is a directive-based programming model for highly parallel systems, which allows for automat...
This 2h tutorial interactively teaches how to handle the massive computing performance offered by PO...
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GP...
Graphics processing units and similar accelerators have been intensively used in general purpose com...
GPUs, Graphics Processing Units, offer a large amount of processing power by providing a platform fo...
In the tutorial, attendees will learn how to leverage the full performance offered by GPU-equipped I...
In recent years, GPU computing has been very popular for scientific applications, especially after t...
GPUs, Graphics Processing Units, offer a large amount of processing power by providing a platform fo...
Graphics Processing Units (GPU) have been widely adopted to accelerate the execution of HPC workload...
The goal of the chapter is to introduce the upper-level Computer Engineering/Computer Science underg...
Original article can be found at : http://portal.acm.org/ Copyright ACM [Full text of this article i...