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09/05/2023
AGIBench: A Multi-granularity, Multimodal, Human-referenced, Auto-scoring Benchmark for Large Language Models
Large language models (LLMs) like ChatGPT have revealed amazing intellig...
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09/05/2023
Hierarchical Masked 3D Diffusion Model for Video Outpainting
Video outpainting aims to adequately complete missing areas at the edges...
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07/03/2023
OpenClinicalAI: An Open and Dynamic Model for Alzheimer's Disease Diagnosis
Although Alzheimer's disease (AD) cannot be reversed or cured, timely di...
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07/03/2023
OpenAPMax: Abnormal Patterns-based Model for Real-World Alzheimer's Disease Diagnosis
Alzheimer's disease (AD) cannot be reversed, but early diagnosis will si...
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06/11/2022
SAIBench: Benchmarking AI for Science
Scientific research communities are embracing AI-based solutions to targ...
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05/16/2022
A BenchCouncil View on Benchmarking Emerging and Future Computing
The measurable properties of the artifacts or objects in the computer, m...
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04/07/2022
Three Laws of Technology Rise or Fall
Newton's laws of motion perfectly explain or approximate physical phenom...
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12/17/2021
Call for establishing benchmark science and engineering
This article investigates the origin and evolution of the benchmark term...
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09/09/2021
OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings
This paper quantitatively reveals the state-of-the-art and state-of-the-...
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08/17/2020
An Isolated Data Island Benchmark Suite for Federated Learning
Federated learning (FL) is a new machine learning paradigm, the goal of ...
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02/10/2020
AI-oriented Medical Workload Allocation for Hierarchical Cloud/Edge/Device Computing
In a hierarchically-structured cloud/edge/device computing environment, ...
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08/06/2019
Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking
In edge computing scenarios, the distribution of data and collaboration ...
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08/01/2019
LoadCNN: A Efficient Green Deep Learning Model for Day-ahead Individual Resident Load Forecasting
Accurate day-ahead individual resident load forecasting is very importan...
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07/27/2019
HPC AI500: A Benchmark Suite for HPC AI Systems
In recent years, with the trend of applying deep learning (DL) in high p...
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06/01/2019
A Semantic-based Medical Image Fusion Approach
It is necessary for clinicians to comprehensively analyze patient inform...
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05/08/2019
A new direction to promote the implementation of artificial intelligence in natural clinical settings
Artificial intelligence (AI) researchers claim that they have made great...
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01/03/2019
XOS: An Application-Defined Operating System for Data Center Servers
Rapid growth of datacenter (DC) scale, urgency of cost control, increasi...
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01/03/2019
Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks
Big medical data poses great challenges to life scientists, clinicians, ...
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11/26/2018
Clustering Residential Electricity Load Curves via Community Detection in Network
Performing analytic of household load curves (LCs) has significant value...
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11/14/2018
Anomaly Analysis for Co-located Datacenter Workloads in the Alibaba Cluster
In warehouse-scale cloud datacenters, co-locating online services and of...
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10/18/2018
Data Motif-based Proxy Benchmarks for Big Data and AI Workloads
For the architecture community, reasonable simulation time is a strong r...
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08/26/2018
Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads
The complexity and diversity of big data and AI workloads make understan...
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02/23/2018
BigDataBench: A Scalable and Unified Big Data and AI Benchmark Suite
Several fundamental changes in technology indicate domain-specific hardw...
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02/23/2018
BigDataBench: A Dwarf-based Big Data and AI Benchmark Suite
As architecture, system, data management, and machine learning communiti...
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02/10/2018
A veracity preserving model for synthesizing scalable electricity load profiles
Electricity users are the major players of the electric systems, and ele...
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02/01/2018
Data Dwarfs: A Lens Towards Fully Understanding Big Data and AI Workloads
The complexity and diversity of big data and AI workloads make understan...
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02/01/2018
Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads
Though the big data benchmark suites like BigDataBench and CloudSuite ha...
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01/28/2018
BOPS, Not FLOPS! A New Metric and Roofline Performance Model For Datacenter Computing
The past decades witness FLOPS (Floating-point Operations per Second) as...
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01/28/2018
BOPS, Not FLOPS! A New Metric, Measuring Tool, and Roofline Performance Model For Datacenter Computing
The past decades witness FLOPS (Floating-point Operations per Second), a...
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11/21/2017
HybridTune: Spatio-temporal Data and Model Driven Performance Diagnosis for Big Data Systems
With tremendous growing interests in Big Data systems, analyzing and fac...
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11/09/2017
A Dwarf-based Scalable Big Data Benchmarking Methodology
Different from the traditional benchmarking methodology that creates a n...
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10/25/2017
Deep Convolutional Neural Networks for Anomaly Event Classification on Distributed Systems
The increasing popularity of server usage has brought a plenty of anomal...
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02/20/2017
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
Traditionally, multi-layer neural networks use dot product between the o...
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10/05/2016
10-millisecond Computing
Despite computation becomes much complex on data with an unprecedented s...
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04/05/2016