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ORCID2nd Bench 2019: Denver, CO, USA
- Wanling Gao
, Jianfeng Zhan, Geoffrey C. Fox, Xiaoyi Lu, Dan Stanzione:
Benchmarking, Measuring, and Optimizing - Second BenchCouncil International Symposium, Bench 2019, Denver, CO, USA, November 14-16, 2019, Revised Selected Papers. Lecture Notes in Computer Science 12093, Springer 2020, ISBN 978-3-030-49555-8
Best Paper Session
- Khaled Z. Ibrahim, Samuel Williams, Leonid Oliker:
Performance Analysis of GPU Programming Models Using the Roofline Scaling Trajectories. 3-19 - Lei Wang, Minghe Yu:
GraphBench: A Benchmark Suite for Graph Computing Systems. 20-31 - Yujie Hui, Jeffrey Lien, Xiaoyi Lu:
Early Experience in Benchmarking Edge AI Processors with Object Detection Workloads. 32-48
AI Challenges on Cambricon Using AIBench
- Guangli Li, Xueying Wang, Xiu Ma, Lei Liu, Xiaobing Feng:
XDN: Towards Efficient Inference of Residual Neural Networks on Cambricon Chips. 51-56 - Jiansong Li, Zihan Jiang:
Performance Analysis of Cambricon MLU100. 57-66 - Yifan Wang, Chundian Li, Chen Zeng:
Exploring the Performance Bound of Cambricon Accelerator in End-to-End Inference Scenario. 67-74 - Peng He, Ge Chen, Kai Deng, Ping Yao, Li Fu:
Improve Image Classification by Convolutional Network on Cambricon. 75-82
AI Challenges on RISC-V Using AIBench
- Pengpeng Hou, Jiageng Yu, Yuxia Miao, Yang Tai, Yanjun Wu, Chen Zhao:
RVTensor: A Light-Weight Neural Network Inference Framework Based on the RISC-V Architecture. 85-90 - Yangyang Kong:
AIRV: Enabling Deep Learning Inference on RISC-V. 91-98
AI Challenges on X86 Using AIBench
- Weixin Deng, Pengyu Wang, Jing Wang, Chao Li, Minyi Guo:
PSL: Exploiting Parallelism, Sparsity and Locality to Accelerate Matrix Factorization on x86 Platforms. 101-109 - Tianshu Hao, Ziping Zheng:
The Implementation and Optimization of Matrix Decomposition Based Collaborative Filtering Task on X86 Platform. 110-115 - Maosen Chen, Tun Chen, Qianyun Chen:
An Efficient Implementation of the ALS-WR Algorithm on x86 CPUs. 116-122 - Yi Liang, Shaokang Zeng, Yande Liang, Kaizhong Chen:
Accelerating Parallel ALS for Collaborative Filtering on Hadoop. 123-137
AI Challenges on 3D Face Recognition Using AIBench
- Xingwang Xiong, Xu Wen, Cheng Huang:
Improving RGB-D Face Recognition via Transfer Learning from a Pretrained 2D Network. 141-148 - Tongyan Gong, Huiqian Niu:
An Implementation of ResNet on the Classification of RGB-D Images. 149-155 - Xi Xiong:
Utilization of Resnet in RGB-D Facial Recognition Problems. 156-161
Benchmark
- Todor Ivanov, Timo Eichhorn, Arne-Jørgen Berre, Tomás Pariente Lobo, Ivan Martinez Rodriguez, Ricardo Ruiz Saiz, Barbara Pernici, Chiara Francalanci:
Building the DataBench Workflow and Architecture. 165-171 - Benson K. Muite, Samar Aseeri:
Benchmarking Solvers for the One Dimensional Cubic Nonlinear Klein Gordon Equation on a Single Core. 172-184
AI
- Trong-Ton Pham, Dennis Mintah Djan:
Deep Reinforcement Learning for Auto-optimization of I/O Accelerator Parameters. 187-203 - Yichuan Li, Ruocheng Guo, Weiying Wang, Huan Liu:
Causal Learning in Question Quality Improvement. 204-214 - Zifeng Liu, Xiaojiang Zuo, Zeqing Li, Rui Han:
SparkAIBench: A Benchmark to Generate AI Workloads on Spark. 215-221
Big Data
- Qing Tang, Chen Yang, Xiaofeng Meng, Zhihui Du:
Benchmarking Database Ingestion Ability with Real-Time Big Astronomical Data. 225-233 - Lu Cheng, Ruocheng Guo, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu:
A Practical Data Repository for Causal Learning with Big Data. 234-248
Datacenter
- Matthew Bachstein, Feiyi Wang, Sarp Oral:
LCIO: Large Scale Filesystem Aging. 251-261 - Lei Wang, Wanling Gao, Kaiyong Yang, Zihan Jiang:
BOPS, A New Computation-Centric Metric for Datacenter Computing. 262-277 - Rui Ren, Jinheng Li, Lei Wang, Yan Yin, Zheng Cao:
Anomaly Analysis and Diagnosis for Co-located Datacenter Workloads in the Alibaba Cluster. 278-291
Performance Analysis and Workload Generator
- Anagha Jamthe, Mike Packard, Joe Stubbs, Gilbert Curbelo, Roseline Shapi, Elias Chalhoub:
SSH-Backed API Performance Case Study. 295-305 - Pravin Chandran, Raghavendra Bhat, Juby Jose, Viswanath Dibbur, Prakash Sirra Ajith:
NTP: A Neural Net Topology Profiler. 306-318 - Wenqing Wu, Xiao Feng, Wenli Zhang, Mingyu Chen:
MCC: A Predictable and Scalable Massive Client Load Generator. 319-331
Scientific Computing and Metrology
- Ben Blamey, Andreas Hellander, Salman Toor:
Apache Spark Streaming, Kafka and HarmonicIO: A Performance Benchmark and Architecture Comparison for Enterprise and Scientific Computing. 335-347 - Kun Yang, Tong Wu, Qingfei Shen, Weiqun Cui, Guichun Zhang:
Benchmark Researches from the Perspective of Metrology. 348-359
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