We will present the Heterogeneous Systems Architectures that new AMD processors are bringing with the new GCN based GPUs and the new APUs. We will show how together they represent a huge step forward for programming flexibility and performance efficiently for Compute.</p
GPUs have evolved to programmable, energy efficient com-pute accelerators for massively parallel app...
With discovering capabilities of Graphic Processors to solve complicated mathematical problems and p...
GPGPU stands for General-Purpose computation on GPUs. With the in-creasing programmability of commod...
As we continue to be able to put an increasing number of transistors on a single chip, the answer to...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Node level heterogeneous architectures have become attractive in recent years for several reasons: C...
The graphics processing unit (GPU) has become an integral part oftoday's mainstream computing system...
International audienceThe AMD APU (Accelerated Processing Unit) architecture, which combines CPU and...
GPUs, Graphics Processing Units, offer a large amount of processing power by providing a platform fo...
The evolution of GPUs (graphics processing units) has been enormous in the past few years. Their cal...
Us have evolved to programmable, energy efficient compute accelerators for massively parallel applic...
General purpose graphics processing unit (GPU) computing (GPGPU) has emerged as a new paradigm for p...
......As we enter the era of GPU computing, demanding applications with substantial parallelism incr...
As we continue to be able to put an increasing number of transistors on a single chip, the answer to...
The ongoing trend to more heterogeneous systems forces us to rethink the design of systems. In this ...
GPUs have evolved to programmable, energy efficient com-pute accelerators for massively parallel app...
With discovering capabilities of Graphic Processors to solve complicated mathematical problems and p...
GPGPU stands for General-Purpose computation on GPUs. With the in-creasing programmability of commod...
As we continue to be able to put an increasing number of transistors on a single chip, the answer to...
Graphic processors are becoming faster and faster. Computational power within graphic processing uni...
Node level heterogeneous architectures have become attractive in recent years for several reasons: C...
The graphics processing unit (GPU) has become an integral part oftoday's mainstream computing system...
International audienceThe AMD APU (Accelerated Processing Unit) architecture, which combines CPU and...
GPUs, Graphics Processing Units, offer a large amount of processing power by providing a platform fo...
The evolution of GPUs (graphics processing units) has been enormous in the past few years. Their cal...
Us have evolved to programmable, energy efficient compute accelerators for massively parallel applic...
General purpose graphics processing unit (GPU) computing (GPGPU) has emerged as a new paradigm for p...
......As we enter the era of GPU computing, demanding applications with substantial parallelism incr...
As we continue to be able to put an increasing number of transistors on a single chip, the answer to...
The ongoing trend to more heterogeneous systems forces us to rethink the design of systems. In this ...
GPUs have evolved to programmable, energy efficient com-pute accelerators for massively parallel app...
With discovering capabilities of Graphic Processors to solve complicated mathematical problems and p...
GPGPU stands for General-Purpose computation on GPUs. With the in-creasing programmability of commod...