| Nome |
# |
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A survey on compiler autotuning using machine learning, file e0c31c0c-fe4e-4599-e053-1705fe0aef77
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1.063
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Automatic Tuning of Compilers Using Machine Learning, file e0c31c0d-07a1-4599-e053-1705fe0aef77
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642
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The COMPLEX methodology for UML/MARTE Modeling and design space exploration of embedded systems, file e0c31c0d-d270-4599-e053-1705fe0aef77
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527
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SOCRATES - A seamless online compiler and system runtime autotuning framework for energy-aware applications, file e0c31c0c-bbd8-4599-e053-1705fe0aef77
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327
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Accelerating a Geometric Approach to Molecular Docking with OpenACC, file e0c31c0d-19f3-4599-e053-1705fe0aef77
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326
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Automatic parallelization of sequential specifications for symmetric MPSoCs, file e0c31c09-1b51-4599-e053-1705fe0aef77
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294
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Autotuning and adaptivity approach for energy efficient Exascale HPC systems: The ANTAREX approach, file e0c31c0c-f56f-4599-e053-1705fe0aef77
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277
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MiCOMP: Mitigating the Compiler Phase-Ordering Problem Using Optimization Sub-Sequences and Machine Learning, file e0c31c0d-15a5-4599-e053-1705fe0aef77
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271
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ANTAREX - AutoTuning and adaptivity approach for energy efficient eXascale HPC systems, file e0c31c0c-c110-4599-e053-1705fe0aef77
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253
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The ANTAREX tool flow for monitoring and autotuning energy efficient HPC systems, file e0c31c0c-cc98-4599-e053-1705fe0aef77
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248
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Exploiting OpenMP and OpenACC to accelerate a geometric approach to molecular docking in heterogeneous HPC nodes, file e0c31c0e-71ef-4599-e053-1705fe0aef77
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211
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The ANTAREX approach to autotuning and adaptivity for energy efficient HPC Systems, file e0c31c0c-f569-4599-e053-1705fe0aef77
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190
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Tunable approximations to control time-to-solution in an HPC molecular docking Mini-App, file e0c31c10-b0f2-4599-e053-1705fe0aef77
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168
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The ANTAREX domain specific language for high performance computing, file e0c31c0f-0165-4599-e053-1705fe0aef77
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155
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An Efficient Monte Carlo-based Probabilistic Time-Dependent Routing Calculation Targeting a Server-Side Car Navigation System, file e0c31c0e-ea2a-4599-e053-1705fe0aef77
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154
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Using Speculative Computation and Parallelizing Techniques to Improve Scheduling of Control based Designs, file e0c31c09-2e6d-4599-e053-1705fe0aef77
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149
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Autotuning and adaptivity in energy efficient HPC systems: The ANTAREX toolbox, file e0c31c0c-f25d-4599-e053-1705fe0aef77
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108
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SPIRIT: Spectral-Aware Pareto Iterative Refinement Optimization for Supervised High-Level Synthesis, file e0c31c0e-ba41-4599-e053-1705fe0aef77
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103
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Virtual platform-based design space exploration of power-efficient distributed embedded applications, file e0c31c0e-7185-4599-e053-1705fe0aef77
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102
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Partitioning and Mapping for the hArtes European Project, file e0c31c09-238a-4599-e053-1705fe0aef77
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101
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EXSCALATE: An Extreme-Scale Virtual Screening Platform for Drug Discovery Targeting Polypharmacology to Fight SARS-CoV-2, file 1ee17f6c-9609-421a-9956-cbef89a1388f
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92
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CONTREX: Design of embedded mixed-criticality CONTRol systems under consideration of EXtra-functional properties, file e0c31c11-0150-4599-e053-1705fe0aef77
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92
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An extreme-scale virtual screening platform for drug discovery, file b0df9fcb-95c2-42ee-9582-3ac6e4ff24ec
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91
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DeSpErate++: An enhanced design space exploration framework using predictive simulation scheduling, file e0c31c0e-c04a-4599-e053-1705fe0aef77
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74
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mARGOt: a Dynamic Autotuning Framework for Self-aware Approximate Computing, file e0c31c0f-278d-4599-e053-1705fe0aef77
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74
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An Hybrid Approach to accelerate a Molecular Docking Application for Virtual Screening in Heterogeneous Nodes, file e0c31c10-9842-4599-e053-1705fe0aef77
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71
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Parametric Throughput Oriented Large Integer Multipliers for High Level Synthesis, file e0c31c12-4b5c-4599-e053-1705fe0aef77
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63
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Performance-Driven Analysis for an Adaptive Car-Navigation Service on HPC Systems, file e0c31c0f-6e58-4599-e053-1705fe0aef77
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57
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Pegasus: Performance Engineering for Software Applications Targeting HPC Systems, file e0c31c10-e22e-4599-e053-1705fe0aef77
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55
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Workload- and process-variation aware voltage/frequency tuning for energy efficient performance sustainability of NTC manycores, file e0c31c0f-27fd-4599-e053-1705fe0aef77
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54
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Exploring efficient hardware support for applications with irregular memory patterns on multinode manycore architectures, file e0c31c11-5d41-4599-e053-1705fe0aef77
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50
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Design space pruning and computational workload splitting for autotuning OpenCL applications, file e0c31c0c-bbda-4599-e053-1705fe0aef77
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47
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EVEREST: A design environment for extreme-scale big data analytics on heterogeneous platforms, file e0c31c11-6965-4599-e053-1705fe0aef77
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40
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A Review on Parallel Virtual Screening Softwares for High-Performance Computers, file e0c31c12-6503-4599-e053-1705fe0aef77
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37
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Understanding the I/O Impact on the Performance of High-Throughput Molecular Docking, file e0c31c12-217d-4599-e053-1705fe0aef77
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33
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Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach, file f387b78b-0b0b-4e52-93d9-b9543d14997f
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29
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Legio: fault resiliency for embarrassingly parallel MPI applications, file e0c31c11-9cd5-4599-e053-1705fe0aef77
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21
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Dynamically-Tunable Dataflow Architectures Based on Markov Queuing Models, file e0c31c12-3d18-4599-e053-1705fe0aef77
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20
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COBAYN: Compiler autotuning framework using Bayesian networks, file e0c31c12-6981-4599-e053-1705fe0aef77
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17
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Quantum molecular unfolding, file 0570cfea-00a7-4e82-aa36-22cc14d74cba
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16
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Exploring efficient hardware support for applications with irregular memory patterns on multinode manycore architectures, file e0c31c0a-f507-4599-e053-1705fe0aef77
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9
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A Collaborative Filtering Approach for the Automatic Tuning of Compiler Optimisations, file e0c31c10-88bf-4599-e053-1705fe0aef77
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6
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Supporting the Scale-up of High Performance Application to Pre-Exascale Systems: The ANTAREX Approach, file e6f20c1e-7342-4f91-80c0-3effd0ed2e9e
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6
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Quantum molecular unfolding, file 41f8bef2-65a2-49f4-8908-814f5583aa20
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5
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SPIRIT: Spectral-Aware Pareto Iterative Refinement Optimization for Supervised High-Level Synthesis, file e0c31c07-be33-4599-e053-1705fe0aef77
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5
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ANTAREX: A DSL-based Approach to Adaptively Optimizing and Enforcing Extra-Functional Properties in High Performance Computing, file d64116db-5e42-4e0d-8cc8-c4f0c0eb9812
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4
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CONTREX: Design of embedded mixed-criticality CONTRol systems under consideration of EXtra-functional properties, file e0c31c0a-f2ff-4599-e053-1705fe0aef77
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4
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GPU-optimized approaches to molecular docking-based virtual screening in drug discovery: A comparative analysis, file 1c6e9d63-ee91-496d-8d46-f4205f17a9e8
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3
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Domain-Specific Energy Modeling for Drug Discovery and Magnetohydrodynamics Applications, file 4c9c4c8e-b7f6-4982-af03-577ee3978734
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3
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The COMPLEX reference framework for HW/SW co-design and power management supporting platform-based design-space exploration, file e0c31c08-0b5b-4599-e053-1705fe0aef77
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3
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The COMPLEX methodology for UML/MARTE Modeling and design space exploration of embedded systems, file e0c31c08-1c6d-4599-e053-1705fe0aef77
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3
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MEDIATE - Molecular DockIng at homE: Turning collaborative simulations into therapeutic solutions, file f3326f47-9702-40ef-9c78-4bfa5f6aa020
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3
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The Legio Fault Resilience Framework: Design and Rationale, file b44d60d3-e6be-40ba-ba90-016a9c73b71d
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2
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null, file e0c31c07-ccca-4599-e053-1705fe0aef77
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2
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Floorplan-aware hierarchical NoC topology with GALS interfaces, file e0c31c07-fdf4-4599-e053-1705fe0aef77
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2
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Early stage interference checking for automatic design space exploration of mixed critical systems, file e0c31c0a-f743-4599-e053-1705fe0aef77
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2
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Tunable approximations to control time-to-solution in an HPC molecular docking Mini-App, file e0c31c0f-d2c1-4599-e053-1705fe0aef77
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2
|
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The mARGOt autotuning framework design and improvements, file 884bec92-65d3-4e7d-803e-abb8ba42a827
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1
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Out of kernel tuning and optimizations for portable large-scale docking experiments on GPUs, file b474039f-7665-409b-893b-d0c69aaaa148
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1
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Using Speculative Computation and Parallelizing Techniques to Improve Scheduling of Control based Designs, file e0c31c07-c1eb-4599-e053-1705fe0aef77
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1
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Implementation of a Reconfigurable Data Protection Module for NoC-based MPSoC, file e0c31c07-c491-4599-e053-1705fe0aef77
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1
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Floorplanning-aware design space exploration for application-specific hierarchical networks on-chip, file e0c31c07-f4a3-4599-e053-1705fe0aef77
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1
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MULTICUBE: Multi-objective Design Space Exploration of Multi-core Architectures, file e0c31c07-f4b6-4599-e053-1705fe0aef77
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1
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OSCAR: an Optimization Methodology Exploiting Spatial Correlation in Multi-core Design Spaces, file e0c31c07-fa4d-4599-e053-1705fe0aef77
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1
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Exploring Manycore Multinode Systems for Irregular Applications with FPGA Prototyping, file e0c31c08-1d6d-4599-e053-1705fe0aef77
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1
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Variation-aware voltage island formation for power efficient near-threshold manycore architectures, file e0c31c08-486b-4599-e053-1705fe0aef77
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1
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DeSpErate++: An enhanced design space exploration framework using predictive simulation scheduling, file e0c31c09-72c8-4599-e053-1705fe0aef77
|
1
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Virtual platform-based design space exploration of power-efficient distributed embedded applications, file e0c31c09-7341-4599-e053-1705fe0aef77
|
1
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A system-level exploration of power delivery architectures for near-threshold manycores considering performance constraints, file e0c31c0a-eac4-4599-e053-1705fe0aef77
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1
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Predictive modeling methodology for compiler phase-ordering, file e0c31c0a-eac5-4599-e053-1705fe0aef77
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1
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Throughput balancing for energy efficient near-threshold manycores, file e0c31c0a-f509-4599-e053-1705fe0aef77
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1
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CONTREX: Design of Embedded Mixed-Criticality CONTRol Systems under Consideration of EXtra-Functional Properties, file e0c31c0a-f5e1-4599-e053-1705fe0aef77
|
1
|
|
Autotuning and adaptivity in energy efficient HPC systems: The ANTAREX toolbox, file e0c31c0c-75a9-4599-e053-1705fe0aef77
|
1
|
|
SOCRATES - A seamless online compiler and system runtime autotuning framework for energy-aware applications, file e0c31c0c-cfc6-4599-e053-1705fe0aef77
|
1
|
|
A survey on compiler autotuning using machine learning, file e0c31c0c-fe4f-4599-e053-1705fe0aef77
|
1
|
|
Accelerating a Geometric Approach to Molecular Docking with OpenACC, file e0c31c0d-0057-4599-e053-1705fe0aef77
|
1
|
|
Performance-Driven Analysis for an Adaptive Car-Navigation Service on HPC Systems, file e0c31c0f-439e-4599-e053-1705fe0aef77
|
1
|
|
A Bayesian network approach for compiler auto-tuning for embedded processors, file e0c31c10-c898-4599-e053-1705fe0aef77
|
1
|
|
EXSCALATE: An Extreme-Scale Virtual Screening Platform for Drug Discovery Targeting Polypharmacology to Fight SARS-CoV-2, file f93ae434-ca91-4751-95fa-ba2cde117a3a
|
1
|
| Totale |
6.788 |