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Publication search results
found 87 matches
- 2024
- Pengjie Cui, Haotian Liu, Bo Tang, Ye Yuan:
CGgraph: An Ultra-fast Graph Processing System on Modern Commodity CPU-GPU Co-processor. Proc. VLDB Endow. 17(6): 1405-1417 (2024) - 2023
- Yuhao Ju, Jie Gu:
A Systolic Neural CPU Processor Combining Deep Learning and General-Purpose Computing With Enhanced Data Locality and End-to-End Performance. IEEE J. Solid State Circuits 58(1): 216-226 (2023) - Pablo Parra, Antonio da Silva, Borja Losa, Ignacio García, Oscar R. Polo, Agustín Martínez-Hellín, Sebastián Sánchez:
Tailor-made Virtualization Monitor Design for CPU Virtualization on LEON Processors. ACM Trans. Embed. Comput. Syst. 22(4): 60:1-60:32 (2023) - Mark Ermolov, Dmitry Sklyarov, Maxim Goryachy:
Undocumented x86 instructions to control the CPU at the microarchitecture level in modern Intel processors. J. Comput. Virol. Hacking Tech. 19(3): 351-365 (2023) - Zhongcheng Zhang, Yan Ou, Ying Liu, Chenxi Wang, Yongbin Zhou, Xiaoyu Wang, Yuyang Zhang, Yucheng Ouyang, Jiahao Shan, Ying Wang, Jingling Xue, Huimin Cui, Xiaobing Feng:
Occamy: Elastically Sharing a SIMD Co-processor across Multiple CPU Cores. ASPLOS (3) 2023: 483-497 - Yuhao Ju, Yijie Wei, Xi Chen, Jie Gu:
A General-Purpose Compute-in-Memory Processor Combining CPU and Deep Learning with Elevated CPU Efficiency and Enhanced Data Locality. VLSI Technology and Circuits 2023: 1-2 - 2022
- Ayoub Bouhatous, Ladjel Bellatreche, El Hassan Abdelwahed, Carlos Ordonez:
The Impact of Multicore CPUs on Eco-Friendly Query Processors in Big Data Warehouses. IEEE Big Data 2022: 4463-4472 - Yuhao Ju, Jie Gu:
A 65nm Systolic Neural CPU Processor for Combined Deep Learning and General-Purpose Computing with 95% PE Utilization, High Data Locality and Enhanced End-to-End Performance. ISSCC 2022: 1-3 - 2021
- Nandinbaatar Tsog, Saad Mubeen, Fredrik Bruhn, Moris Behnam, Mikael Sjödin:
Offloading Accelerator-intensive Workloads in CPU-GPU Heterogeneous Processors. ETFA 2021: 1-8 - Mariana C. Toledo, Sandro M. Marques, Thiarles S. Medeiros, Fábio Diniz Rossi, Marcelo Caggiani Luizelli, Antonio Carlos Schneider Beck, Arthur Francisco Lorenzon:
EDP Optimization of Parallel Applications via CPU Frequency Scaling on AMD Processors. LASCAS 2021: 1-4 - 2020
- Guohua You, Xuejing Wang:
A server-side accelerator framework for multi-core CPUs and Intel Xeon Phi co-processor systems. Clust. Comput. 23(4): 2591-2608 (2020) - Xin Wang, Wei Zhang:
Exploring Time-Predictable and High-Performance Last-Level Caches for Hard Real-Time Integrated CPU-GPU Processors. J. Comput. Sci. Eng. 14(3): 89-101 (2020) - Zhifang Li, Beicheng Peng, Chuliang Weng:
XeFlow: Streamlining Inter-Processor Pipeline Execution for the Discrete CPU-GPU Platform. IEEE Trans. Computers 69(6): 819-831 (2020) - Jonglae Park, Bumgyu Park, Youngtae Lee, Chulmin Jo, Seogjun Lee:
Performance-efficient CPU resource management algorithm on Heterogeneous multi-processor. ICCE 2020: 1-5 - Young-Duk Kim, Wookyeong Jeong, Lakkyung Jung, Dongsuk Shin, Jae Geun Song, Jinook Song, Hyeokman Kwon, Jaeyoung Lee, Jaesu Jung, Myungjin Kang, Jaehun Jeong, Yoonjoo Kwon, Nak Hee Seong:
2.4 A 7nm High-Performance and Energy-Efficient Mobile Application Processor with Tri-Cluster CPUs and a Sparsity-Aware NPU. ISSCC 2020: 48-50 - Daichi Minami, Yukikazu Nakamoto, Yoshitaka Koga, Koji Fukuoka:
Simulation environment of embedded control system for multi-core processor with faster CPU simulator. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 405-410 - 2019
- Joel Fuentes:
Towards Methods to Exploit Concurrent Data Structures on Heterogeneous CPU/iGPU Processors. University of California, Irvine, USA, 2019 - Konrad Moren, Diana Göhringer:
A framework for accelerating local feature extraction with OpenCL on multi-core CPUs and co-processors. J. Real Time Image Process. 16(4): 901-918 (2019) - Alejandro Villegas, Angeles G. Navarro, Rafael Asenjo, Oscar G. Plata:
Toward a software transactional memory for heterogeneous CPU-GPU processors. J. Supercomput. 75(8): 4177-4192 (2019) - Leibo Liu, Ao Luo, Guanhua Li, Jianfeng Zhu, Yong Wang, Gang Shan, Jianfeng Pan, Shouyi Yin, Shaojun Wei:
Jintide®: A Hardware Security Enhanced Server CPU with Xeon® Cores under Runtime Surveillance by an In-Package Dynamically Reconfigurable Processor. Hot Chips Symposium 2019: 1-25 - Hitoshi Oi:
Evaluation of Ryzen 5 and Core i7 Processors with SPEC CPU 2017. SysCon 2019: 1-6 - 2018
- Kapil Dev, Indrani Paul, Wei Huang, Yasuko Eckert, Wayne P. Burleson, Sherief Reda:
Implications of Integrated CPU-GPU Processors on Thermal and Power Management Techniques. CoRR abs/1808.09651 (2018) - 2017
- Esraa Shehab, Alsayed Algergawy, Amany M. Sarhan:
Accelerating relational database operations using both CPU and GPU co-processor. Comput. Electr. Eng. 57: 69-80 (2017) - Qi Zhu, Bo Wu, Xipeng Shen, Kai Shen, Li Shen, Zhiying Wang:
Understanding co-run performance on CPU-GPU integrated processors: observations, insights, directions. Frontiers Comput. Sci. 11(1): 130-146 (2017) - Kapil Dev, Xin Zhan, Sherief Reda:
Scheduling on CPU + GPU Processors Under Dynamic Conditions. J. Low Power Electron. 13(4): 551-568 (2017) - Siddharth Rai, Mainak Chaudhuri:
Using Criticality of GPU Accesses in Memory Management for CPU-GPU Heterogeneous Multi-Core Processors. ACM Trans. Embed. Comput. Syst. 16(5s): 133:1-133:23 (2017) - Eric Matthews, Lesley Shannon:
TAIGA: A new RISC-V soft-processor framework enabling high performance CPU architectural features. FPL 2017: 1-4 - Siddharth Rai, Mainak Chaudhuri:
Improving CPU Performance Through Dynamic GPU Access Throttling in CPU-GPU Heterogeneous Processors. IPDPS Workshops 2017: 18-29 - Juan Fang, Huanhuan Chen, Junjie Mao:
Understanding Data Partition for Applications on CPU-GPU Integrated Processors. MSN 2017: 426-434 - Alejandro Villegas, Angeles G. Navarro, Rafael Asenjo, Oscar G. Plata:
Towards a Software Transactional Memory for Heterogeneous CPU-GPU Processors. PARCO 2017: 708-717
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