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09/07/2023
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks
The fast growth of computational power and scales of modern super-comput...
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08/21/2023
A Large-scale Benchmark for Log Parsing
Log data is pivotal in activities like anomaly detection and failure dia...
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08/19/2023
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services
As modern software systems continue to grow in terms of complexity and v...
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08/15/2023
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems
Ensuring the reliability of cloud systems is critical for both cloud ven...
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08/09/2023
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters
GPU-aware collective communication has become a major bottleneck for mod...
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07/20/2023
Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection
Performance issues permeate large-scale cloud service systems, which can...
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06/08/2023
Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop
System logs play a critical role in maintaining the reliability of softw...
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06/02/2023
EvLog: Evolving Log Analyzer for Anomalous Logs Identification
Software logs record system activities, aiding maintainers in identifyin...
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05/17/2023
Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques
In the exascale computing era, optimizing MPI collective performance in ...
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05/01/2023
Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs
General Matrix Multiplication (GEMM) is a crucial algorithm for various ...
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04/08/2023
C-Coll: Introducing Error-bounded Lossy Compression into MPI Collectives
With the ever-increasing computing power of supercomputers and the growi...
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02/19/2023
Incident-aware Duplicate Ticket Aggregation for Cloud Systems
In cloud systems, incidents are potential threats to customer satisfacti...
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02/09/2023
Geometry of Score Based Generative Models
In this work, we look at Score-based generative models (also called diff...
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01/09/2022
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching
To ensure the performance of online service systems, their status is clo...
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08/27/2021
Graph-based Incident Aggregation for Large-Scale Online Service Systems
As online service systems continue to grow in terms of complexity and vo...
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07/13/2021
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
Logs have been an imperative resource to ensure the reliability and cont...
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05/25/2021
Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data
Error-bounded lossy compression is becoming an indispensable technique f...
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04/02/2021
FT-BLAS: A High Performance BLAS Implementation With Online Fault Tolerance
Basic Linear Algebra Subprograms (BLAS) is a core library in scientific ...
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11/08/2020
Ensembled CTR Prediction via Knowledge Distillation
Recently, deep learning-based models have been widely studied for click-...
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09/12/2020
FuxiCTR: An Open Benchmark for Click-Through Rate Prediction
In many applications, such as recommender systems, online advertising, a...
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01/22/2020
Normalization of Input-output Shared Embeddings in Text Generation Models
Neural Network based models have been state-of-the-art models for variou...
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09/24/2019
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression
System logs record detailed runtime information of software systems and ...
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11/08/2018