Tag: FPGA
Novel Dynamic Partial Reconfiguration Implementation of K-Means Clustering on FPGAs: Comparative Results with GPPs and GPUs
In this work, a parameterized implementation of the K-means clustering algorithm in Field Programmable Gate Array (FPGA) is presented and compared with previous FPGA implementation as well as recent implementations on Graphics Processing Units (GPUs) and GPPs.
Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing
In this paper we explore the role of hardware accelerators in hyperspectral remote sensing missions and further inter-compare two types of solutions: field programmable gate arrays (FPGAs) and graphics processing units (GPUs)
GPU Approach to FPGA placement based on star+
In this work, we propose a GPU-accelerated simulated-annealing variant for FPGA placement
FPL2012 conference keynote: Compiling OpenCL to FPGAs
In this talk, we explore techniques that allow us to program FPGAs at a level of abstraction that is closer to traditional software-centric approaches using an emerging parallel language : OpenCL.
FPGA strikes back: Xilinx ships the world’s first heterogeneous 3D FPGA
Virtex-7 HT devices use Xilinx’s stacked silicon interconnect (SSI) technology to deliver the industry’s highest bandwidth FPGAs, featuring up to sixteen 28 Gbps and seventy-two 13.1 Gbps transceivers
GPUs are competing FPGA-based image enhancement for specialized cameras
Short lecture by Dr. Reinhard Borst, ELTEC Elektronik AG. It has been delivered at SpectroNet Collaboration Forum Konstanz, 2012.
Call For Papers: High Performance Simulation of biological systems
The goal of this track is to explore the use of emerging parallel computing architectures as well as High Performance Computing systems for the simulation of relevant biological systems
Parallel computing in experimental mechanics and optical measurement.
The main principles of parallel computing at an application level are introduced; the hardware platforms that support parallel computing are compared; the applications of parallel computing in experimental mechanics and optical measurement.
Call For Papers: High Performance Simulation of biological systems
The goal of this track is to explore the use of emerging parallel computing architectures as well as High Performance Computing systems (Supercomputers, Clusters, Grids) for the simulation of relevant biological systems.
Evolutionary algorithms: a FPGA-CPU-GPU performance comparison
The main objective of the work presented in this paper is to compare implementations on FPGAs and CPUs of different fitness functions in evolutionary algorithms in order to study the performance of the floating-point arithmetic in FPGAs and CPUs that is often present in the optimization problems tackled by these algorithms.
