All Stories

  1. ScaleQsim: Highly Scalable Quantum Circuit Simulation Framework for Exascale HPC Systems
  2. Achieving Deterministic and Reliable Large-Scale Data Transfers in a Scientific Network
  3. Regen: An object layout regenerator on large-scale production HPC systems
  4. Toward Performance Prediction in Large-Scale Systems through Temporal System and Application Log Analysis
  5. Swiftn: Accelerating Quantum Circuit Simulation Through Tensor Optimization
  6. Improving Slow Transfer Predictions: Generative Methods Compared
  7. Conditional Recurrent Neural Networks for Enhancing Throughput Prediction and Slow File Transfers Detection in Large Science Workflows
  8. Comparing Cache Utilization Trends for Regional Data Caches
  9. Exploring Data Caching Policy with Data Access Patterns from dCache System
  10. TensorSearch: Parallel Similarity Search on Tensors
  11. A Study of a Deterministic Networking Framework for Latency Critical Large Scientific Data Transfers
  12. Imb-FinDiff: Conditional Diffusion Models for Class Imbalance Synthesis of Financial Tabular Data
  13. A2FL: Autonomous and Adaptive File Layout in HPC through Real-time Access Pattern Analysis
  14. Detecting Anomalies in Time Series Using Kernel Density Approaches
  15. Experiences in deploying in-network data caches
  16. Predicting Resource Utilization Trends with Southern California Petabyte Scale Cache
  17. Understanding Data Access Patterns for dCache System
  18. Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data
  19. Counterfactual Analysis: A Case Study on Impact of External Events on Building Energy Consumption
  20. Saving network usage across the seas, saving network traffic volume by 97%
  21. Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective
  22. Leveraging History to Predict Infrequent Abnormal Transfers in Distributed Workflows
  23. Design and implementation of I/O performance prediction scheme on HPC systems through large-scale log analysis
  24. Effectiveness and predictability of in-network storage cache for Scientific Workflows
  25. Locating Partial Discharges in Power Transformers with Convolutional Iterative Filtering
  26. Design and Implementation of Burst Buffer Over-Subscription Scheme for HPC Storage Systems
  27. Design and implementation of dynamic I/O control scheme for large scale distributed file systems
  28. What Makes You Hold on to That Old Car? Joint Insights From Machine Learning and Multinomial Logit on Vehicle-Level Transaction Decisions
  29. Predicting Slow Network Transfers in Scientific Computing
  30. Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches
  31. Access Trends of In-network Cache for Scientific Data
  32. SNTA'22
  33. LBNL Superfacility Project Report
  34. Enhancing IoT anomaly detection performance for federated learning
  35. Adaptive Optimization for Sparse Data on Heterogeneous GPUs
  36. Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications
  37. Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions
  38. An In-Depth I/O Pattern Analysis in HPC Systems
  39. Asynchronous I/O Strategy for Large-Scale Deep Learning Applications
  40. Automated Feature Selection for Anomaly Detection in Network Traffic Data
  41. Adaptive Stochastic Gradient Descent for Deep Learning on Heterogeneous CPU+GPU Architectures
  42. Effective Missing Value Imputation Methods for Building Monitoring Data
  43. Botnet Detection Using Recurrent Variational Autoencoder
  44. Enhancing IoT Anomaly Detection Performance for Federated Learning
  45. Cross-facility science with the Superfacility Project at LBNL
  46. Software-Defined Network for End-to-end Networked Science at the Exascale
  47. Towards HPC I/O Performance Prediction through Large-scale Log Analysis
  48. Access Patterns to Disk Cache for Large Scientific Archive
  49. GPU-based Classification for Wireless Intrusion Detection
  50. understanding scientific data access patterns with data caching within the network
  51. Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection
  52. Evaluation of Deep Learning Models for Network Performance Prediction for Scientific Facilities
  53. Transfer Learning Approach for Botnet Detection Based on Recurrent Variational Autoencoder
  54. HPC Workload Characterization Using Feature Selection and Clustering
  55. BBOS: Efficient HPC Storage Management via Burst Buffer Over-Subscription
  56. Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow
  57. Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes
  58. A Reinforcement Learning Based Network Scheduler for Deadline-Driven Data Transfers
  59. Federated Wireless Network Intrusion Detection
  60. Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use
  61. Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems
  62. Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization
  63. Co-optimizing Latency and Energy for IoT services using HMP servers in Fog Clusters
  64. DCA-IO: A Dynamic I/O Control Scheme for Parallel and Distributed File Systems
  65. A New Approach to Multivariate Network Traffic Analysis
  66. Multidimensional Compression with Pattern Matching
  67. Automatic Detection of Network Traffic Anomalies and Changes
  68. Performance Prediction for Data Transfers in LCLS Workflow
  69. Similarity-based Compression with Multidimensional Pattern Matching
  70. Understanding Parallel I/O Performance Trends Under Various HPC Configurations
  71. Detecting Anomalies in the LCLS Workflow
  72. Dynamic Online Performance Optimization in Streaming Data Compression
  73. Predicting Network Traffic Using TCP Anomalies
  74. Consensus Ensemble System for Traffic Flow Prediction
  75. SDN for End-to-End Networked Science at the Exascale (SENSE)
  76. Auto-Tuned Publisher in a Pub/Sub System: Design and Performance Evaluation
  77. Modeling Data Transfers: Change Point and Anomaly Detection
  78. Spatio-Temporal Analysis of HPC I/O and Connection Data
  79. Identifying Anomalous File Transfer Events in LCLS Workflow
  80. Towards Autonomic Science Infrastructure
  81. Multivariate network traffic analysis using clustered patterns
  82. Foreword
  83. Predicting baseline for analysis of electricity pricing
  84. Feature Engineering and Classification Models for Partial Discharge Events in Power Transformers
  85. Accurate signal timing from high frequency streaming data
  86. Data quality challenges with missing values and mixed types in joint sequence analysis
  87. Convolutional Filtering for Accurate Signal Timing from Noisy Streaming Data
  88. Statistical data reduction for streaming data
  89. A New Approach to Online, Multivariate Network Traffic Analysis
  90. Improving Statistical Similarity Based Data Reduction for Non-Stationary Data
  91. Parallel Variable Selection for Effective Performance Prediction
  92. Expanding Statistical Similarity Based Data Reduction to Capture Diverse Patterns
  93. A lightweight network anomaly detection technique
  94. An approach to online network monitoring using clustered patterns
  95. Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma
  96. Novel Data Reduction Based on Statistical Similarity
  97. Machine learning based job status prediction in scientific clusters
  98. Time-Series Forecast Modeling on High-Bandwidth Network Measurements
  99. Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows
  100. Performance Analysis Tool for HPC and Big Data Applications on Scientific Clusters
  101. Named Data Networking in Climate Research and HEP Applications
  102. PATHA: Performance Analysis Tool for HPC Applications
  103. Extracting Baseline Electricity Usage Using Gradient Tree Boosting
  104. Best Predictive Generalized Linear Mixed Model with Predictive Lasso for High-Speed Network Data Analysis
  105. Network bandwidth utilization forecast model on high bandwidth networks
  106. Statistical Overfitting and Backtest Performance
  107. Adaptation and Policy-Based Resource Allocation for Efficient Bulk Data Transfers in High Performance Computing Environments
  108. Efficient Data Staging Using Performance-Based Adaptation and Policy-Based Resource Allocation
  109. Statistical Overfitting and Backtest Performance
  110. Estimating and Forecasting Network Traffic Performance Based on Statistical Patterns Observed in SNMP Data
  111. What SNMP Data Can Tell Us about Edge-to-Edge Network Performance
  112. Adaptive Data Transfers that Utilize Policies for Resource Sharing
  113. Efficient Attribute-Based Data Access in Astronomy Analysis
  114. Experiences with 100Gbps network applications
  115. Adoption of a SAML-XACML Profile for Authorization Interoperability across Grid Middleware in OSG and EGEE
  116. StorNet: Integrated Dynamic Storage and Network Resource Provisioning and Management for Automated Data Transfers
  117. StorNet: Co-scheduling of end-to-end bandwidth reservation on storage and network systems for high-performance data transfers
  118. Efficient Bulk Data Replication for the EarthSystem Grid
  119. A Flexible Reservation Algorithm for Advance Network Provisioning
  120. Finding Tropical Cyclones on a Cloud Computing Cluster: Using Parallel Virtualization for Large-Scale Climate Simulation Analysis
  121. EFFIS: An End-to-end Framework for Fusion Integrated Simulation
  122. Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network
  123. Adaptive Transfer Adjustment in Efficient Bulk Data Transfer Management for Climate Datasets
  124. Scientific Data Management
  125. Dynamic Storage Management
  126. Hadoop distributed file system for the Grid
  127. Practical Grid Storage Interoperation
  128. FastBit: interactively searching massive data
  129. Interoperation of world-wide production e-Science infrastructures
  130. The Earth System Grid: Enabling Access to Multimodel Climate Simulation Data
  131. Efficient Operational Profiling of Systems Using Suffix Arrays on Execution Logs
  132. Grid data access on widely distributed worker nodes using scalla and SRM
  133. Storage resource manager version 2.2: design, implementation, and testing experience
  134. Data management and analysis for the Earth System Grid
  135. Toward a first-principles integrated simulation of tokamak edge plasmas
  136. Storage Resource Managers: Recent International Experience on Requirements and Multiple Co-Operating Implementations
  137. Building a global federation system for climate change research: the earth system grid center for enabling technologies (ESG-CET)
  138. Enabling worldwide access to climate simulation data: the earth system grid (ESG)
  139. The Earth System Grid: Supporting the Next Generation of Climate Modeling Research
  140. High-performance remote access to climate simulation data: a challenge problem for data grid technologies
  141. An ontology for scientific information in a Grid environment: the earth system Grid
  142. Grid collector: an event catalog with automated file management
  143. High-performance remote access to climate simulation data
  144. New capabilities in the HENP Grand Challenge Storage Access System and its application at RHIC
  145. Experience with using CORBA to implement a file caching coordination system
  146. Storage access coordination using CORBA
  147. Invariant representation and hierarchical network for inspection of nuts from X-ray images
  148. Coordinating simultaneous caching of file bundles from tertiary storage
  149. Multidimensional indexing and query coordination for tertiary storage management