OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems
نویسندگان
چکیده
منابع مشابه
OpenCL – The Open Standard for Parallel Programming of Heterogeneous Systems
Today's computers are becoming increasing reliant on parallel computing. Processors are shipping with multiple cores, and new ways of computing are being discovered such as GPGPU (General Purpose Graphics Processing Unit) programming [1][3]. Each of these new processing techniques present advantages of their own, thus making the combined use of these technologies empirical. For example GPGPU al...
متن کاملOpenCL: A pArALLeL prOgrAmming StAndArd
T he strong need for increased computational performance in science and engineering has led to the use of heterogeneous computing, with GPUs and other accelerators acting as coprocessors for arithmetic intensive data-parallel workloads.1–4 OpenCL is a new industry standard for task-parallel and data-parallel heterogeneous computing on a variety of modern CPUs, GPUs, DSPs, and other microprocess...
متن کاملInvitation to a Standard Programming Interface for Massively Parallel Computing Environment: OpenCL
Multicore/manycore architecture accelerates demand for a new programming environment to utilize the massive processors integrated in an LSI. GPU (Graphics Processing Unit) is one of the typical hardware environments. The programming environments on GPU are traditionally vendor-/hardware-specific, where complicate the management of uniform programs that access computing resources of the massivel...
متن کاملProgramming Models for Parallel Heterogeneous Computing
Many of the computational problems we are facing today are complex and need huge computational power to be solved. It is well-known that processors will not continue to get faster, but will get more cores instead. More cores are not only harder to utilize by an application programmer, but also challenge hardware designers. Thus various new hardware architectures are designed and evaluated in or...
متن کاملPARUS: A Parallel Programming Framework for Heterogeneous Multiprocessor Systems
PARUS is a parallel programing framework that allows building parallel programs in data flow graph notation. The data flow graph is created by developer either manually or automatically with the help of a script. The graph is then converted to C++/MPI source code and linked with the PARUS runtime system. The next step is the parallel program execution on a cluster or multiprocessor system. PARU...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computing in Science & Engineering
سال: 2010
ISSN: 1521-9615
DOI: 10.1109/mcse.2010.69