Wanling Gao

Orcid: 0000-0002-3911-9389

According to our database¹, Wanling Gao authored at least 60 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Evaluatology: The Science and Engineering of Evaluation.

[BibT_eX]

[DOI]

CoRR, 2024

AIGCBench: Comprehensive Evaluation of Image-to-Video Content Generated by AI.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Does AI for science need another ImageNet Or totally different benchmarks? A case study of machine learning force fields.

[BibT_eX]

[DOI]

CoRR, 2023

IterLara: A Turing Complete Algebra for Big Data, AI, Scientific Computing, and Database.

[BibT_eX]

[DOI]

CoRR, 2023

WPC: Whole-picture Workload Characterization.

[BibT_eX]

[DOI]

CoRR, 2023

DCNetBench: Scaleable Data Center Network Benchmarking.

[BibT_eX]

[DOI]

CoRR, 2023

CMLCompiler: A Unified Compiler for Classical Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Supercomputing, 2023

AGIBench: A Multi-granularity, Multimodal, Human-Referenced, Auto-Scoring Benchmark for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Benchmarking, Measuring, and Optimizing, 2023

Does AI for Science Need Another ImageNet or Totally Different Benchmarks? A Case Study of Machine Learning Force Fields.

[BibT_eX]

[DOI]

Proceedings of the Benchmarking, Measuring, and Optimizing, 2023

2022

Quality at the Tail.

[BibT_eX]

[DOI]

CoRR, 2022

ToL: A Tensor of List-Based Unified Computation Model.

[BibT_eX]

[DOI]

CoRR, 2022

High fusion computers: The IoTs, edges, data centers, and humans-in-the-loop as a computer.

[BibT_eX]

[DOI]

CoRR, 2022

A systematic study on benchmarking AI inference accelerators.

[BibT_eX]

[DOI]

CCF Trans. High Perform. Comput., 2022

OLxPBench: Real-time, Semantically Consistent, and Domain-specific are Essential in Benchmarking, Designing, and Implementing HTAP Systems.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Shift-and-Balance Attention.

[BibT_eX]

[DOI]

CoRR, 2021

HPC AI500: Representative, Repeatable and Simple HPC AI Benchmarking.

[BibT_eX]

[DOI]

CoRR, 2021

WPC: Whole-Picture Workload Characterization Across Intermediate Representation, ISA, and Microarchitecture.

[BibT_eX]

[DOI]

IEEE Comput. Archit. Lett., 2021

AIBench Training: Balanced Industry-Standard AI Training Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2021

Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

HPC AI500 V2.0: The Methodology, Tools, and Metrics for Benchmarking HPC AI Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cluster Computing, 2021

AI-oriented Workload Allocation for Cloud-Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE/ACM International Symposium on Cluster, 2021

AIBench Scenario: Scenario-Distilling AI Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020

HPC AI500: The Methodology, Tools, Roofline Performance Models, and Metrics for Benchmarking HPC AI Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices.

[BibT_eX]

[DOI]

CoRR, 2020

AIBench: Scenario-distilling AI Benchmarking.

[BibT_eX]

[DOI]

CoRR, 2020

AIBench: An Industry Standard AI Benchmark Suite from Internet Services.

[BibT_eX]

[DOI]

CoRR, 2020

Extended Batch Normalization.

[BibT_eX]

[DOI]

CoRR, 2020

AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite.

[BibT_eX]

[DOI]

CoRR, 2020

AI-oriented Medical Workload Allocation for Hierarchical Cloud/Edge/Device Computing.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Understanding Processors Design Decisions for Data Analytics in Homogeneous Data Centers.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2019

HybridTune: Spatio-Temporal Performance Data Correlation for Performance Diagnosis of Big Data Systems.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2019

BenchCouncil's View on Benchmarking AI and Other Emerging Workloads.

[BibT_eX]

[DOI]

CoRR, 2019

AIBench: An Industry Standard Internet Service AI Benchmark Suite.

[BibT_eX]

[DOI]

CoRR, 2019

HPC AI500: A Benchmark Suite for HPC AI Systems.

[BibT_eX]

[DOI]

CoRR, 2019

LoadCNN: A Efficient Green Deep Learning Model for Day-ahead Individual Resident Load Forecasting.

[BibT_eX]

[DOI]

CoRR, 2019

Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks.

[BibT_eX]

[DOI]

IEEE Access, 2019

BOPS, A New Computation-Centric Metric for Datacenter Computing.

[BibT_eX]

[DOI]

Proceedings of the Benchmarking, Measuring, and Optimizing, 2019

2018

BigDataBench: A Dwarf-based Big Data and AI Benchmark Suite.

[BibT_eX]

[DOI]

CoRR, 2018

Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads.

[BibT_eX]

[DOI]

CoRR, 2018

BOPS, Not FLOPS! A New Metric, Measuring Tool, and Roofline Performance Model For Datacenter Computing.

[BibT_eX]

[DOI]

CoRR, 2018

Data Motif-based Proxy Benchmarks for Big Data and AI Workloads.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Workload Characterization, 2018

CVR: efficient vectorization of SpMV on x86 processors.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Symposium on Code Generation and Optimization, 2018

DCMIX: Generating Mixed Workloads for the Cloud Data Center.

[BibT_eX]

[DOI]

Proceedings of the Benchmarking, Measuring, and Optimizing, 2018

AIoT Bench: Towards Comprehensive Benchmarking Mobile and Embedded Device Intelligence.

[BibT_eX]

[DOI]

Proceedings of the Benchmarking, Measuring, and Optimizing, 2018

HPC AI500: A Benchmark Suite for HPC AI Systems.

[BibT_eX]

[DOI]

Proceedings of the Benchmarking, Measuring, and Optimizing, 2018

Edge AIBench: Towards Comprehensive End-to-End Edge Computing Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the Benchmarking, Measuring, and Optimizing, 2018

AIBench: Towards Scalable and Comprehensive Datacenter AI Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the Benchmarking, Measuring, and Optimizing, 2018

Data motifs: a lens towards fully understanding big data and AI workloads.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques, 2018

2017

Understanding Big Data Analytics Workloads on Modern Processors.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2017

基于观察者模式的实时系统验证方法 (Real-time System Verification Approach Based on Observer Patterns).

[BibT_eX]

[DOI]

计算机科学, 2017

统计算法选择对统计模型检测效率的影响分析 (Efficiency Analysis of Different Statistical Algorithms on Statistical Model Checking).

[BibT_eX]

[DOI]

计算机科学, 2017

A Dwarf-based Scalable Big Data Benchmarking Methodology.

[BibT_eX]

[DOI]

CoRR, 2017

BigDataBench-S: An Open-Source Scientific Big Data Benchmark Suite.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

2015

Benchmarking Big Data Systems: State-of-the-Art and Future Directions.

[BibT_eX]

[DOI]

CoRR, 2015

Identifying Dwarfs Workloads in Big Data Analytics.

[BibT_eX]

[DOI]

CoRR, 2015

Revisiting Benchmarking Principles and Methodologies for Big Data Benchmarking.

[BibT_eX]

[DOI]

Liutao Zhao

Wanling Gao

Yi Jin

Proceedings of the Big Data Benchmarks, Performance Optimization, and Emerging Hardware, 2015

2014

BigDataBench: A big data benchmark suite from internet services.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on High Performance Computer Architecture, 2014

2013

BigDataBench: a Big Data Benchmark Suite from Web Search Engines.

[BibT_eX]

[DOI]

CoRR, 2013

BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the Advancing Big Data Benchmarks, 2013

2012

The Implications of Diverse Applications and Scalable Data Sets in Benchmarking Big Data Systems.

[BibT_eX]

[DOI]

Proceedings of the Specifying Big Data Benchmarks, 2012

Wanling Gao

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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