All Stories

  1. Accelerating Sharded Data Parallelism at Scale with Federated Learning
  2. QSplit: A Workflow-Oriented Hybrid Quantum–Classical Optimization Framework
  3. Inference performance of large language models on a 64-core RISC-V CPU with silicon-enabled vectors
  4. Preliminary Life Cycle Assessment of a HighPerformance Computing Data Center: A Case Study of the HPC4AI Facility at the University of Turin
  5. A comprehensive performance evaluation of TEEs for confidential DNA alignment
  6. Decentralized Time Series Classification with ROCKET Features
  7. Personalized Aggregation for Federated Prototypical Learning
  8. Hardening Agentic AI: A Type-and-Effect Framework for Verified Delegation
  9. Overcoming Dynamic I/O Boundaries: a Double-Sided Streaming Methodology with dispel4py and CAPIO
  10. Digital Twin for Datacenter: HPC4AI UniTO Case Study
  11. Performance Portability Assessment in Gaia
  12. A Formal Framework for Fault Tolerance in Hybrid Scientific Workflows
  13. Dynamic transparent streaming in file-based workflows with CAPIO
  14. A Fault Tolerance Mechanism for Hybrid Scientific Workflows
  15. Introducing SWIRL: An Intermediate Representation Language for Scientific Workflows
  16. Secure Generic Remote Workflow Execution with TEEs
  17. FedER: Federated Learning through Experience Replay and privacy-preserving data synthesis
  18. DALLMi: Domain Adaption for LLM-Based Multi-label Classifier
  19. Efficiently Distributed Federated Learning
  20. Distributed Edge Inference: an Experimental Study on Multiview Detection
  21. A Systematic Mapping Study of Italian Research on Workflows
  22. The MPI + CUDA Gaia AVU–GSR Parallel Solver Toward Next-generation Exascale Infrastructures
  23. Adaptive multi-tier intelligent data manager for Exascale
  24. A Federated Learning Benchmark for Drug-Target Interaction
  25. MiFL: Multi-Input Neural Networks in Federated Learning
  26. Hercules: Scalable and Network Portable In-Memory Ad-Hoc File System for Data-Centric and High-Performance Applications
  27. Model-Agnostic Federated Learning
  28. Distributed workflows with Jupyter
  29. Machine learning for cardiology
  30. Practical parallelization of scientific applications with OpenMP, OpenACC and MPI
  31. TwinLiverNet: Predicting TACE Treatment Outcome from CT scans for Hepatocellular Carcinoma using Deep Capsule Networks
  32. StreamFlow: Cross-Breeding Cloud With HPC
  33. TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale
  34. An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans
  35. Hardware and Software Solutions for Energy-Efficient Computing in Scientific Programming
  36. The Italian research on HPC key technologies across EuroHPC
  37. Interpretable Deep Model For Predicting Gene-Addicted Non-Small-Cell Lung Cancer In Ct Scans
  38. Advantages of using graph databases to explore chromatin conformation capture experiments
  39. The CLAIRE COVID-19 initiative: approach, experiences and recommendations
  40. Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets
  41. Data stream processing in HPC systems: New frameworks and architectures for high-frequency streaming
  42. Enforcing Deadlines for Skeleton-based Parallel Programming
  43. Practical Parallelization of Scientific Applications
  44. Programming languages for data-Intensive HPC applications: A systematic mapping study
  45. NeoHiC: A Web Application for the Analysis of Hi-C Data
  46. Exploiting Docker containers over Grid computing for a comprehensive study of chromatin conformation in different cell types
  47. Challenging the abstraction penalty in parallel patterns libraries
  48. Accelerating Spectral Graph Analysis Through Wavefronts of Linear Algebra Operations
  49. Deep Learning at Scale
  50. Why High-Performance Modelling and Simulation for Big Data Applications Matters
  51. Languages for Big Data Analysis
  52. Power-aware pipelining with automatic concurrency control
  53. HPC4AI
  54. PiCo: High-performance data analytics pipelines in modern C++
  55. Scaling Dense Linear Algebra on Multicore and Beyond: A Survey
  56. Languages for Big Data analysis
  57. PiCo: A Novel Approach to Stream Data Analytics
  58. Scientific Workflows on Clouds with Heterogeneous and Preemptible Instances
  59. The RePhrase Extended Pattern Set for Data Intensive Parallel Computing
  60. Harnessing sliding-window execution semantics for parallel stream processing
  61. Guest Editorial for Programming Models and Algorithms for Data Analysis in HPC Systems
  62. OCCAM: a flexible, multi-purpose and extendable HPC cluster
  63. On dynamic memory allocation in sliding-window parallel patterns for streaming analytics
  64. Sponsors
  65. A Flexible Numerical Framework for Engineering—A Response Surface Modelling Application
  66. Preface
  67. Multiple back-end support for the armadillo linear algebra interface
  68. A Comparison of Big Data Frameworks on a Layered Dataflow Model
  69. The Genome Conformation As an Integrator of Multi-Omic Data: The Example of Damage Spreading in Cancer
  70. NuChart-II: The road to a fast and scalable tool for Hi-C data analysis
  71. Deep Learning for Automated Skeletal Bone Age Assessment in X-Ray Images
  72. A parallel pattern for iterative stencil + reduce
  73. PWHATSHAP: efficient haplotyping for future generation sequencing
  74. Message from ScalCom 2016 Program Chairs
  75. A Cluster-as-Accelerator Approach for SPMD-Free Data Parallelism
  76. RPL: A Domain-Specific Language for Designing and Implementing Parallel C++ Applications
  77. NuchaRt: Embedding High-Level Parallel Computing in R for Augmented Hi-C Data Analysis
  78. Message from the ScalCom 2015 Chairs
  79. The Loop-of-Stencil-Reduce Paradigm
  80. Pool Evolution: A Parallel Pattern for Evolutionary and Symbolic Computing
  81. Memory-Optimised Parallel Processing of Hi-C Data
  82. Parallel Exploration of the Nuclear Chromosome Conformation with NuChart-II
  83. Parallel visual data restoration on multi-GPGPUs using stencil-reduce pattern
  84. Integrating multi-omic features exploiting Chromosome Conformation Capture data
  85. High-Performance Haplotype Assembly
  86. NuChart-II: A Graph-Based Approach for Analysis and Interpretation of Hi-C Data
  87. Exercising High-Level Parallel Programming on Streams: A Systems Biology Use Case
  88. Preface from the Organizing Chairs
  89. Table of Contents
  90. On Designing Multicore-Aware Simulators for Systems Biology Endowed with OnLine Statistics
  91. Sequence Alignment Tools: One Parallel Pattern to Rule Them All?
  92. Design patterns percolating to parallel programming framework implementation
  93. Discovering biological knowledge by integrating high-throughput data and scientific literature on the cloud
  94. Decision tree building on multi‐core using FastFlow
  95. Parallel stochastic systems biology in the cloud
  96. Parallel Stochastic Simulators in System Biology: The Evolution of the Species
  97. Structured Data Access Annotations for Massively Parallel Computations
  98. Targeting Distributed Systems in FastFlow
  99. MuCoCoS 2012: 5th International Workshop on Multi-Core Computing Systems Focus: Performance Portability and Tuning
  100. A parallel edge preserving algorithm for salt and pepper image denoising
  101. TARGETING HETEROGENEOUS ARCHITECTURES VIA MACRO DATA FLOW
  102. Parallel Patterns + Macro Data Flow for Multi-core Programming
  103. An Efficient Unbounded Lock-Free Queue for Multi-core Systems
  104. On Designing Multicore-Aware Simulators for Biological Systems
  105. Accelerating Code on Multi-cores with FastFlow
  106. LIBERO: A Framework for Autonomic Management of Multiple Non-functional Concerns
  107. StochKit-FF: Efficient Systems Biology on Multicore Architectures
  108. Efficient Smith-Waterman on Multi-core with FastFlow
  109. Autonomic management of multiple non-functional concerns in behavioural skeletons
  110. Integrating Autonomic Grid Components and Process-Driven Business Applications
  111. Porting Decision Tree Algorithms to Multicore Using FastFlow
  112. Efficient streaming applications on multi-core with FastFlow: the biosequence alignment test-bed
  113. Skeletons for multi/many-core systems
  114. Autonomic management of non-functional concerns in distributed & parallel application programming
  115. Co-design of Distributed Systems Using Skeleton and Autonomic Management Abstractions
  116. Stkm on Sca: A Unified Framework with Components, Workflows and Algorithmic Skeletons
  117. Semi-formal Models to Support Program Development: Autonomic Management within Component Based Parallel and Distributed Programming
  118. Towards Hierarchical Management of Autonomic Components: A Case Study
  119. Securing skeletal systems with limited performance penalty: The muskel experience
  120. AUTOMATIC MAPPING OF ASSIST APPLICATIONS USING PROCESS ALGEBRA
  121. Behavioural Skeletons in GCM: Autonomic Management of Grid Components
  122. The VirtuaLinux Storage Abstraction Layer for Ef?cient Virtual Clustering
  123. Advances in Autonomic Components & Services
  124. Behavioural Skeletons for Component Autonomic Management on Grids
  125. From Orc Models To Distributed Grid Java Code
  126. Towards software component assembly language enhanced with workflows and skeletons
  127. Towards A Formal Semantics For Autonomic Components
  128. Skeleton-based parallel programming: Functional and parallel semantics in a single shot
  129. The cost of security in skeletal systems
  130. Adding metadata to Orc to support reasoning about grid programs
  131. Management in Distributed Systems: A Semi-formal Approach
  132. Algorithmic skeletons meeting grids
  133. Autonomic QoS in ASSIST grid-aware components
  134. Optimization techniques for skeletons on grids
  135. Dynamic Reconfiguration of Grid-Aware Applications in ASSIST
  136. A framework for experimenting with structured parallel programming environment design
  137. An operational semantics for skeletons
  138. : EXPERIMENTING WITH SKELETONS IN THE SHARED ADDRESS MODEL
  139. An advanced environment supporting structured parallel programming in Java
  140. Adaptable Parallel Components for Grid Programming
  141. An Abstract Schema Modeling Adaptivity Management
  142. Skeleton Parallel Programming and Parallel Objects
  143. Towards the Automatic Mapping of Assist Applications for the Grid
  144. ASSIST As a Research Framework for High-Performance Grid Programming Environments
  145. Structured Implementation of Component-Based Grid Programming Environments
  146. Components for High-Performance Grid Programming in Grid.IT