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Zheming Jin
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2020 – today
- 2024
- [c55]Zheming Jin:
Extending the SYCL Joint Matrix for Binarized Neural Networks. IPDPS (Workshops) 2024: 329-333 - 2023
- [j7]Liang Zhao, Zheming Jin, Xiongfei Wang:
Small-Signal Synchronization Stability of Grid-Forming Converters With Regulated DC-Link Dynamics. IEEE Trans. Ind. Electron. 70(12): 12399-12409 (2023) - [c54]Zheming Jin, Jeffrey S. Vetter:
Accelerating Hyperdimensional Classifier with SYCL. CLUSTER Workshops 2023: i-ii - [c53]Zheming Jin, Jeffrey S. Vetter:
Understanding Portability of Automotive Workload: A Case Study with the Points-to-Image Kernel in SYCL on Heterogeneous Computing Platforms. GPGPU@PPoPP 2023: 14-20 - [c52]Zheming Jin, Jeffrey S. Vetter:
Experience Deploying Graph Applications on GPUs with SYCL. ICPP Workshops 2023: 30-39 - [c51]Zheming Jin, Jeffrey S. Vetter:
Understanding SYCL Portability for Pseudorandom Number Generation: a Case Study with Gene-Expression Connectivity Mapping. IPDPS Workshops 2023: 295-298 - [c50]Zheming Jin, Jeffrey S. Vetter:
Understanding Performance Portability of SYCL Kernels: A Case Study with the All-Pairs Distance Calculation in Bioinformatics on GPUs. IPDPS Workshops 2023: 366-372 - [c49]Zheming Jin, Jeffrey S. Vetter:
A Benchmark Suite for Improving Performance Portability of the SYCL Programming Model. ISPASS 2023: 325-327 - [c48]Zheming Jin, Jeffrey S. Vetter:
Experience Migrating OpenCL to SYCL: A Case Study on Searches for Potential Off-Target Sites of Cas9 RNA-Guided Endonucleases on AMD GPUs. SOCC 2023: 1-6 - [i1]Liang Zhao, Xiongfei Wang, Zheming Jin:
Exploring Damping Effect of Inner Control Loops for Grid-Forming VSCs. CoRR abs/2310.09660 (2023) - 2022
- [j6]Ruizheng Ni, Ruichang Qiu, Zhiwei Luo, Jie Chen, Zheming Jin, Zhigang Liu:
A Weighted Classification Method Based on Adaptive Feature Selection. IEEE Access 10: 58635-58646 (2022) - [c47]Zheming Jin, Jeffrey S. Vetter:
Performance portability study of epistasis detection using SYCL on NVIDIA GPU. BCB 2022: 69:1-69:8 - [c46]Zheming Jin, Jeffrey S. Vetter:
Understanding Performance Portability of Bioinformatics Applications in SYCL on an NVIDIA GPU. BIBM 2022: 2190-2195 - [c45]Zheming Jin, Jeffrey S. Vetter:
A Study on Atomics-based Integer Sum Reduction in HIP on AMD GPU. ICPP Workshops 2022: 6:1-6:10 - [c44]Zheming Jin, Jeffrey S. Vetter:
Integer Sum Reduction with OpenMP on an AMD MI100 GPU. IPDPS Workshops 2022: 496-499 - [c43]Zheming Jin, Jeffrey S. Vetter:
Evaluating Unified Memory Performance in HIP. IPDPS Workshops 2022: 562-568 - [c42]Zheming Jin, Jeffrey S. Vetter:
Evaluating Nonuniform Reduction in HIP and SYCL on GPUs. DRBSD@SC 2022: 37-43 - 2021
- [c41]Zheming Jin, Jeffrey S. Vetter:
Evaluating the Performance of Integer Sum Reduction in SYCL on GPUs. ICPP Workshops 2021: 34:1-34:8 - [c40]Zheming Jin, Jeffrey S. Vetter:
Evaluating CUDA Portability with HIPCL and DPCT. IPDPS Workshops 2021: 371-376 - [c39]Zheming Jin, Jeffrey S. Vetter:
Evaluating the Performance of Integer Sum Reduction on an Intel GPU. IPDPS Workshops 2021: 652-655 - [c38]Anthony M. Cabrera, Aaron R. Young, Jacob Lambert, Zhili Xiao, Amy An, Seyong Lee, Zheming Jin, Jungwon Kim, Jeremy Buhler, Roger D. Chamberlain, Jeffrey S. Vetter:
Toward Evaluating High-Level Synthesis Portability and Performance between Intel and Xilinx FPGAs. IWOCL 2021: 7:1-7:9 - 2020
- [c37]Zheming Jin, Vitali A. Morozov, Hal Finkel:
A Case Study on the HACCmk Routine in SYCL on Integrated Graphics. IPDPS Workshops 2020: 368-374 - [c36]Zheming Jin, Hal Finkel:
Population Count on Intel® CPU, GPU and FPGA. IPDPS Workshops 2020: 432-439 - [c35]Zheming Jin, Hal Finkel:
Analyzing Deep Learning Model Inferences for Image Classification using OpenVINO. IPDPS Workshops 2020: 908-911 - [c34]Zheming Jin, Hal Finkel:
Performance Evaluation of the Vectorizable Binary Search Algorithms on an FPGA Platform. IA3@SC 2020: 63-67
2010 – 2019
- 2019
- [c33]Zheming Jin, Hal Finkel:
Evaluating LULESH Kernels on OpenCL FPGA. ARC 2019: 199-213 - [c32]Zheming Jin, Hal Finkel:
Base64 Encoding on Heterogeneous Computing Platforms. ASAP 2019: 247-254 - [c31]Zheming Jin, Hal Finkel:
Simulation of Random Network of Hodgkin and Huxley Neurons with Exponential Synaptic Conductances on an FPGA Platform. BCB 2019: 653-657 - [c30]Zheming Jin, Hal Finkel:
Evaluation of Medical Imaging Applications using SYCL. BIBM 2019: 2259-2264 - [c29]Zheming Jin, Hal Finkel:
Exploration of OpenCL 2D Convolution Kernels on Intel FPGA, CPU, and GPU Platforms. IEEE BigData 2019: 4460-4465 - [c28]Zheming Jin, Hal Finkel:
A Case Study of k-means Clustering using SYCL. IEEE BigData 2019: 4466-4471 - [c27]Zheming Jin, Hal Finkel:
Accelerating Hyperdimensional Classifier on Multiple GPUs. CLUSTER 2019: 1-2 - [c26]Zheming Jin, Hal Finkel:
Exploring the Random Network of Hodgkin and Huxley Neurons with Exponential Synaptic Conductances on OpenCL FPGA Platform. FCCM 2019: 316 - [c25]Zheming Jin, Hal Finkel:
OpenCL Kernel Vectorization on the CPU, GPU, and FPGA: A Case Study with Frequent Pattern Compression. FCCM 2019: 330 - [c24]Zheming Jin, Hal Finkel:
Base64 Encoding on OpenCL FPGA Platform. FPGA 2019: 116 - [c23]Zheming Jin, Hal Finkel:
Nuclear Reactor Simulations on OpenCL FPGA Platform. FPGA 2019: 304 - [c22]Zheming Jin, Paulius Velesko, Hal Finkel:
Performance of Floating-point Intensive Kernels on Low-power Processor - A Case Study with Geodesic Distance Kernel. IGSC 2019: 1-6 - [c21]Zheming Jin, Hal Finkel:
Exploring Integer Sum Reduction using Atomics on Intel CPU. IWOCL 2019: 2:1-2:6 - 2018
- [j5]Zheming Jin, Lexuan Meng, Josep M. Guerrero, Renke Han:
Hierarchical Control Design for a Shipboard Power System With DC Distribution and Energy Storage Aboard Future More-Electric Ships. IEEE Trans. Ind. Informatics 14(2): 703-714 (2018) - [c20]Zheming Jin, Hal Finkel:
Optimizing Radial Basis Function Kernel on OpenCL FPGA Platform. IEEE BigData 2018: 4730-4735 - [c19]Zheming Jin, Hal Finkel:
Bob Jenkins Lookup3 Hash Function on OpenCL FPGA Platform. IEEE BigData 2018: 4736-4741 - [c18]Zheming Jin, Kazutomo Yoshii:
Optimizations of Sequence Alignment on FPGA: A Case Study of Extended Sequence Alignment (Abstact Only). FPGA 2018: 285 - [c17]Zheming Jin, Hal Finkel:
Evaluation of OpenCL Performance-oriented Optimizations for Streaming Kernels on the FPGA: (Abstract Only). FPGA 2018: 287 - [c16]Zheming Jin, Hal Finkel:
A Case Study of Complementary-multiply-with-carry Method on OpenCL FPGA. IGSC 2018: 1-6 - [c15]Zheming Jin, Hal Finkel:
Evaluating Radial Basis Function Kernel on OpenCL FPGA Platform. IGSC 2018: 1-6 - [c14]Zheming Jin, Hal Finkel:
A Case Study of Integer Sum Reduction using Atomics. HEART 2018: 15:1-15:7 - [c13]Zheming Jin, Hal Finkel:
Evaluating an OpenCL FPGA Platform for HPC: a Case Study with the HACCmk Kernel. HPEC 2018: 1-6 - [c12]Zheming Jin, Hal Finkel:
Optimizing Parallel Reduction on OpenCL FPGA Platform - A Case Study of Frequent Pattern Compression. IPDPS Workshops 2018: 27-35 - [c11]Zheming Jin, Hal Finkel:
Optimizing an Atomics-Based Reduction Kernel on OpenCL FPGA Platform. IPDPS Workshops 2018: 532-539 - [c10]Zheming Jin, Hal Finkel:
Power and Performance Tradeoff of a Floating-Point Intensive Kernel on OpenCL FPGA Platform. IPDPS Workshops 2018: 716-720 - [c9]Zheming Jin, Hal Finkel:
Evaluation of MD5Hash Kernel on OpenCL FPGA Platform. IPDPS Workshops 2018: 1026-1032 - [c8]Zheming Jin, Hal Finkel:
Performance-oriented Optimizations for OpenCL Streaming Kernels on the FPGA. IWOCL 2018: 1:1-1:8 - [c7]Zheming Jin, Hal Finkel:
Nuclear Reactor Simulation on OpenCL FPGA: a Case Study of RSBench. IWOCL 2018: 2:1-2:9 - [c6]Zheming Jin, Iris Johnson, Hal Finkel:
Evaluating and Optimizing OpenCL Base64 Data Unpacking Kernel with FPGA. PDP 2018: 273-277 - [c5]Zheming Jin, Hal Finkel:
Evaluating Floating-point Intensive Applications on OpenCL FPGA Platforms: A Case Study on the SimpleMOC Kernel. ReConFig 2018: 1-6 - 2017
- [c4]Zheming Jin, Hal Finkel, Kazutomo Yoshii, Franck Cappello:
Evaluation of a Floating-Point Intensive Kernel on FPGA - A Case Study of Geodesic Distance Kernel. Euro-Par Workshops 2017: 664-675 - [c3]Zheming Jin, Lexuan Meng, Josep M. Guerrero:
Constant power load instability mitigation in DC shipboard power systems using negative series virtual inductor method. IECON 2017: 6789-6794 - [c2]Zheming Jin, Lexuan Meng, Juan C. Vasquez, Josep M. Guerrero:
Specialized hierarchical control strategy for DC distribution based shipboard microgrids: A combination of emerging DC shipboard power systems and microgrid technologies. IECON 2017: 6820-6825 - 2015
- [j4]Zheming Jin, Jason D. Bakos:
Memory Interface Design for 3D Stencil Kernels on a Massively Parallel Memory System. ACM Trans. Reconfigurable Technol. Syst. 8(4): 24:1-24:24 (2015) - 2013
- [j3]Zheming Jin, Jason D. Bakos:
Extending the BEAGLE library to a multi-FPGA platform. BMC Bioinform. 14: 25 (2013) - [j2]Zheming Jin, Jason D. Bakos:
A Heuristic Scheduler for Port-Constrained Floating-Point Pipelines. Int. J. Reconfigurable Comput. 2013: 849545:1-849545:9 (2013) - [j1]Yan Zhang, Fan Zhang, Zheming Jin, Jason D. Bakos:
An FPGA-Based Accelerator for Frequent Itemset Mining. ACM Trans. Reconfigurable Technol. Syst. 6(1): 2:1-2:17 (2013) - [c1]Zheming Jin, Jason D. Bakos:
Memory Access Scheduling on the Convey HC-1. FCCM 2013: 237
Coauthor Index
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last updated on 2024-08-08 19:20 CEST by the dblp team
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