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NTIS 바로가기대한임베디드공학회논문지 = IEMEK Journal of embedded systems and applications, v.18 no.4, 2023년, pp.165 - 172
남덕윤 (Kyungpook National University)
Heterogeneous computing is a technology that utilizes different types of processors to perform parallel processing. It maximizes task processing and energy efficiency by leveraging various computing resources such as CPUs, GPUs, and FPGAs. On the other hand, edge computing has developed with IoT and...
V. G. Cerf, "On Heterogeneous Computing,"?Communication of the ACM, Vol. 64, No. 21, pp. 9, 2021.
OpenCL, https://www.khronos.org/opencl/
S. Mendez, "Edge Computing Systems with?Kubernetes," Packt Publishing, 2022.
J. Diaz, C. Munoz-Caro, A. Nino, "A Survey of Parallel?Programming Models and Tools in the Multi and?Many-Core Era," IEEE Transactions on Parallel and?Distributed Systems, Vol. 23, No. 8, pp. 1369-1386, 2012.
CUDA, https://developer.nvidia.com/cuda-toolkit
SYCL, https://www.khronos.org/sycl/
T. Deakin, J. Price, M. Martineau, S. McIntosh-Smith,?"Evaluating Attainable Memory Bandwidth of Parallel?Programming Models Via BabelStream," International?Journal of Computational Science and Engineering, Vol.?17, No. 3, pp. 247-262, 2018.
Raspberry Pi, https://www.raspberrypi.com/products/raspberry-pi-4-model-b/
Jetson Orin Nano, https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-orin/
A. Alpay, V. Heuveline, "One Pass to Bind Them: The?First Single-Pass SYCL Compiler with Unified Code?Representation Across Backends," in Proceedings of the?2023 International Workshop on OpenCL, Article 7, 2023.
OpenMP, https://www.openmp.org/
OpenACC, https://www.openacc.org/
D. Angus, S. Georgiev, H. A. Gonzalez, J. Riordan, P.?Keir, M. Goli, "Porting SYCL Accelerated Neural?Network Frameworks to Edge Devices," in Proceedings?of the 2023 International Workshop on OpenCL, Article?No. 4, 2023.
J. Y. Park, J. H. Hong, K. S. Chung "Parallel LDPC?Decoder for CMMB on CPU and GPU Using OpenCL,"?IEMEK J. Embed. Sys. Appl., Vol. 11, No. 6, pp.?325-334, 2016 (in Korean).
S. Memeti, L. Li, S. Pllana, J. Kolodziej, C. Kessler,?"Benchmarking OpenCL, OpenACC, OpenMP, and?CUDA: Programming Productivity, Performance, and?Energy Consumption," in Proceedings of the 2017?Workshop on Adaptive Resource Management and?Scheduling for Cloud Computing, pp. 1-7, 2017.
Codeplay ComputeCpp, https://developer.codeplay.com/products/computecpp/ce/home
Intel oneAPI DPC++, https://www.intel.com/content/www/us/en/developer/tools/oneapi/dpc-compiler.html
OpenSYCL, https://github.com/OpenSYCL/OpenSYCL
STREAM Benchmark, https://www.cs.virginia.edu/stream/
VC4CL: OpenCL for VideoCore IV GPU, https://github.com/doe300/VC4CL
strace: Linux syscall tracer, https://strace.io/
JetPack SDK, https://developer.nvidia.com/embedded/jetpack
Portable Computing Language, http://portablecl.org/
NVIDIA HPC SDK, https://developer.nvidia.com/hpc-sdk
C. Feng, P. Han X. Zhang, B. Yang, Y. Liu, L. Guo,?"Computation Offloading in Mobile Edge Computing?Networks: A Survey," Journal of Network and?Computer Applications, Vol. 202, 103366, 2022.
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