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From OpenCL to high-performance hardware on FPGAs
TS Czajkowski, U Aydonat, D Denisenko… - … conference on field …, 2012 - ieeexplore.ieee.org
We present an OpenCL compilation framework to generate high-performance hardware for
FPGAs. For an OpenCL application comprising a host program and a set of kernels, it …
FPGAs. For an OpenCL application comprising a host program and a set of kernels, it …
FPGA programming for the masses
FPGA programming for the masses Page 1 56 communicAtionS of the Acm | APrIl 2013 | vOl. 56
| nO. 4 practice wHen looking at how hardware influences computing performance, we have …
| nO. 4 practice wHen looking at how hardware influences computing performance, we have …
pocl: A performance-portable OpenCL implementation
OpenCL is a standard for parallel programming of heterogeneous systems. The benefits of a
common programming standard are clear; multiple vendors can provide support for …
common programming standard are clear; multiple vendors can provide support for …
Improving performance of OpenCL on CPUs
Data-parallel languages like OpenCL and CUDA are an important means to exploit the
computational power of today's computing devices. In this paper, we deal with two aspects of …
computational power of today's computing devices. In this paper, we deal with two aspects of …
HW/SW co-design toolset for customization of exposed datapath processors
Customized processors are an interesting option for implementing software defined radios;
they bring benefits of tailored fixed function hardware while adding new advantages such as …
they bring benefits of tailored fixed function hardware while adding new advantages such as …
Next generation distributed computing for cancer research
P Agarwal, K Owzar - Cancer informatics, 2014 - journals.sagepub.com
Advances in next generation sequencing (NGS) and mass spectrometry (MS) technologies
have provided many new opportunities and angles for extending the scope of translational …
have provided many new opportunities and angles for extending the scope of translational …
Implementation techniques for spmd kernels on cpus
More and more frameworks and simulations are developed using heterogeneous
programming models such as OpenCL, SYCL, CUDA, or HIP. A significant hurdle to …
programming models such as OpenCL, SYCL, CUDA, or HIP. A significant hurdle to …
Applicability of gpgpu computing to real-time ai solutions in games
This paper reviews developments in general purpose computing on graphics processor
units (GPGPU computing) from the perspective of video-game-related artificial intelligence …
units (GPGPU computing) from the perspective of video-game-related artificial intelligence …
Lordcore: Energy-efficient opencl-programmable software-defined radio coprocessor
H Kultala, T Viitanen, H Berg… - … Transactions on Very …, 2019 - ieeexplore.ieee.org
This paper proposes a single instruction multiple data (SIMD) processor, which is
programmed with high-level OpenCL language. The low-power processor is customized for …
programmed with high-level OpenCL language. The low-power processor is customized for …
Evaluation of real-time LBP computing in multiple architectures
Local binary pattern (LBP) is a texture operator that is used in several different computer
vision applications requiring, in many cases, real-time operation in multiple computing …
vision applications requiring, in many cases, real-time operation in multiple computing …