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Titlebook: Reconfigurable Computing: Architectures, Tools and Applications; 9th International Sy Philip Brisk,José Gabriel Figueiredo Coutinho,Pedr Co

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樓主: Covenant
51#
發(fā)表于 2025-3-30 09:39:49 | 只看該作者
An FPGA Acceleration for the Kd-tree Search in Photon Mappinghich is not depending on the number of Estimate-Photons is proposed. Through the implementation on Spartan6, Virtex6 and Virtex7, it appears that 26 fundamental modules can be mounted on Virtex7. As a result, the proposed module achieved the throughput of approximately 282 times as that of software execution at maximum.
52#
發(fā)表于 2025-3-30 13:43:27 | 只看該作者
53#
發(fā)表于 2025-3-30 17:39:28 | 只看該作者
54#
發(fā)表于 2025-3-30 23:38:44 | 只看該作者
HTR: On-Chip Hardware Task Relocation for Partially Reconfigurable FPGAsstatic region, and is thus portable across any system/application. Experimental results evaluate HTR execution times, enabling designers to tradeoff task/PRR granularity and HTR execution times based on application requirements.
55#
發(fā)表于 2025-3-31 01:01:13 | 只看該作者
Performance Analysis and Optimization of High Density Tree-Based 3D Multilevel FPGAnalyzed. We present an optimized physical design technology leverage on TSV, Thermal-TSV (TTSV), and thermal analysis. Compared to 3D Mesh-based FPGA, the 3D Tree-based FPGA design reduces the number of TSVs by 29% and leads to a performance improvement of 53% based on our place and route experiments.
56#
發(fā)表于 2025-3-31 07:29:46 | 只看該作者
Heterogeneous Reconfigurable System for Adaptive Particle Filters in Real-Time Applicationsnd save 26-34% of system energy. Our proposed system is up to 7.39 times faster and 3.65 times more energy efficient than the Intel Xeon X5650 CPU with 12 threads, and 1.3 times faster and 2.13 times more energy efficient than an NVIDIA Tesla C2070 GPU.
57#
發(fā)表于 2025-3-31 12:48:29 | 只看該作者
Hardware Acceleration of Genetic Sequence Alignmentnt exact and approximate alignment. We use reconfigurable hardware to accelerate the design and find that an implementation targeting the MaxWorkstation performs considerably faster and more energy efficient than current CPU and GPU based software aligners.
58#
發(fā)表于 2025-3-31 13:47:02 | 只看該作者
59#
發(fā)表于 2025-3-31 20:24:20 | 只看該作者
60#
發(fā)表于 2025-3-31 21:48:25 | 只看該作者
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