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Select modules (categories): - Algorithm Choice Class Code Collective Tuning OS Collective Tuning advice Collective Tuning compiler Collective Tuning compiler - optimizations Collective Tuning exploration space Collective Tuning filter - calculate speedups Collective Tuning filter - fronteer detection Collective Tuning filter - statistical analysis Collective Tuning pipeline - build and run program Collective Tuning processor Collective Tuning scenario Collective Tuning scenario - compiler optimizations Collective Tuning scenario - compiler optimizations - crowd Collective Tuning scenario - extract program static MILEPOST features Collective Tuning scenario - universal benchmarking Collective Tuning scenario - universal exploration Collective Tuning setup Collective Tuning setup (local) Collective Tuning system Contribution - Abdul Memon Core Dataset Demo Dissemination - Event Dissemination - Hardware Dissemination - Keynote Dissemination - Lecture Dissemination - Pitfall/Suggestion Dissemination - Publication Dissemination - Publication - Artifact Dissemination - Repository Dissemination - Software Index Internal Kernel Link Math - Model Math - Model (Python) Math - Model (R) Math - Statistics (R) Math - Variation Module OS OS script Organization Package Person Processor QR code Repository Source code System Temporary data Test Universal database User Web Web - customized Module API   Module Wiki

Data (69): - 0e4d46aabcde1b4e 6eeb9a481b006da3 A Heuristic Search Algorithm Based on Unified Transformation Framework A cost-aware parallel workload allocation approach based on machine learning techniques A fast and accurate method for determining a lower bound on execution time A practical method for quickly evaluating program optimizations Automatic performance model construction for the fast software exploration of new hardware designs Building a Practical Iterative Interactive Compiler Collective Mind: towards practical and collaborative auto-tuning Collective Optimization Collective Tuning Initiative: automating and accelerating development and optimization of computing systems Collective optimization: A practical collaborative approach Crowdtuning: systematizing auto-tuning using predictive modeling and crowdsourcing Deconstructing iterative optimization Evaluating Iterative Compilation Evaluating iterative optimization across 1000 datasets Experience report: community-driven reviewing and validation of publications Extended abstract - Crowdsourcing autotuning: challenges and possible solutions Extended abstract - cTuning.org: Novel Extensible Methodology, Framework and Public Repository to Collaboratively Address Exascale Challenges Fast and Accurate Evaluation of Memory Performance Upper-Bound Fast compiler optimisation evaluation using code-feature based performance prediction Finding representative sets of optimizations for adaptive multiversioning applications Foundations of Solid State Electronics Functional integrated circuits with an injection power and an active link on bipolar devices Functional microelectronics HiPEAC Newsletter - HiPEAC thematic Session on "Making Computer Engineering a science": cleaning up the mess Introducing 2nd International Workshop on Adaptive Self-Tuning Computing Systems for the Exaflop Era (EXADAPT) Introducing 3rd International Workshop on Adaptive Self-Tuning Computing Systems Introducing ACM SIGPLAN International Workshop on Adaptive Self-Tuning Computing Systems for the Exaflop Era (EXADAPT) Iterative Compilation and Performance Prediction for Numerical Applications Leveraging Modular Simulation for Systematic Design Space Exploration MILEPOST GCC: machine learning based research compiler Measurement of characteristics of neural elements with the aid of personal computer MiDataSets: creating the conditions for a more realistic evaluation of Iterative optimization Milepost GCC: Machine Learning Enabled Self-tuning Compiler Modeling of processes of learning and recognition in modified neural network Modern electronic components of bipolar integrated circuits Modulation transistors - promising elements of functional devices Neuristor and other functional circuits with volume feedback Portable compiler optimisation across embedded programs and microarchitectures using machine learning Poster - DECAN: Decremental Performance Analysis Tool via Binary Patching Poster - Enabling Interactivity in GCC for Fine-Grain Optimizations Poster - Iterative Compilation and Performance Prediction Poster - MILEPOST GCC: machine learning based research compiler Poster - cTuning.org: Collaborative initiative to create open-source repository and tools to share and reuse knowledge about designs and optimizations of computer systems Poster - cTuning.org: novel collaborative methodology, publication model, framework and repository to crowdsource auto-tuning Poster - cTuning.org: novel extensible methodology, framework and public repository to collaboratively address Exascale challenges Practical Run-time Adaptation with Procedure Cloning to Enable Continuous Collective Compilation Practical aggregation of semantical program properties for machine learning based optimization Predictive Runtime Code Scheduling for Heterogeneous Architectures Probabilistic source-level optimisation of embedded programs Quick and Practical Run-Time Evaluation of Multiple Program Optimizations Rapidly Selecting Good Compiler Optimizations using Performance Counters Reducing training time in a one-shot machine learning-based compiler Restoration of symbols with noise by neural network Split Compilation: an Application to Just-in-Time Vectorization Systematic search within an optimisation space based on Unified Transformation Framework TBA: HDR - Grigori Fursin TBA: PhD - Abdul Wahid Memon Techical report - Collective Mind: cleaning up the research and experimentation mess in computer engineering using crowdsourcing, big data and machine learning Technical report - A Fast and Accurate Evaluation of Memory Performance Upper-Bound Technical report - Advanced Performance Analysis Technical report - Guided Transformations The MHAOTEU Toolset for Memory Hierarchy Management Topic-template-optimization Transforming GCC into a research-friendly environment: plugins for optimization tuning and reordering, function cloning and program instrumentation Unifying remote access to high-performance computing systems as a web service Using Machine Learning to Focus Iterative Optimization World's First Intelligent, Open Source Compiler Provides Automated Advice on Software Code Optimization

Show data inside repository: - CTuning archive repository CTuning experiments CTuning experiments - remote repository at cmind CTuning experiments - remote repository at unidapt CTuning experiments - work remote repository at cmind CTuning repository CTuning setup CTuning shared CTuning tmp CTuning with unexpected behavior CTuning with validated behavior Cm-experiments-201408xx-fgg-motivation-compiler-flag-tuning-mess-1 Cm-experiments-201408xx-fgg-motivation-compiler-flag-tuning-mess-2 Cm-experiments-201408xx-fgg-motivation-compiler-flag-tuning-mess-3 Default (main) repository Demo Remote at c-mind.org Remote at c-mind.org - shared Repository for tests Repository for tmp data Shared repository Shared repository - extended User repository - Grigori Fursin