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Name: cTuning foundation (founding member of MLCommons)

Type: Organization

Bio: We develop open-source tools to help researchers and engineers improve productivity and focus on innovation

Twitter: grigori_fursin

Location: Paris, France

Blog: https://cTuning.org

cTuning foundation (founding member of MLCommons)'s Projects

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Validated Collective Knowledge workflows and results from the 1st ACM ReQuEST tournament on co-design of Pareto-efficient SW/HW stack for image classification at ASPLOS'18:

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Collected experimental results in the CK format from the ReQuEST@ASPLOS'18 tournament on reproducible SW/HW co-design of Pareto-efficient deep learning for the following submission:

ck-request-asplos18-results-iot-farm icon ck-request-asplos18-results-iot-farm

Collected experimental results in the CK format from the ReQuEST@ASPLOS'18 tournament on reproducible SW/HW co-design of Pareto-efficient deep learning for the following submission:

ck-request-asplos18-results-resnet-tvm-fpga icon ck-request-asplos18-results-resnet-tvm-fpga

Collected experimental results in the CK format from the ReQuEST@ASPLOS'18 tournament on reproducible SW/HW co-design of Pareto-efficient deep learning for the following submission:

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ResCuE-HPC workshop series (Reproducible, Customizable and Portable Workflows for HPC)

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CK repository to collaboratively optimize benchmarks, kernels and realistic workloads across Raspberry Pi devices provided by volunteers (starting from compiler flag autotuning). Interactive article with all results:

ck-rpi-optimization-results icon ck-rpi-optimization-results

Demonstration of compiler autotuning, crowd-tuning and machine learning on RPi3 via customizable Collective Knowledge workflow framework with a portable package manager. This technology supports Pareto-efficient software/hardware co-design tournaments of deep learning in terms of speed, accuracy, energy, costs:

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The procedures and a workflow to prepare Student Cluster Competition submissions:

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Beta Collective Knowledge workflow to automate installation, execution, customization and validation of SeisSol application from the SCC18 Reproducibility Challenge across different platforms and environments:

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Collective Knowledge repository with CK package and virtual environment front-end for Spack packages:

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Collective Knowledge components for TensorFlow (code, data sets, models, packages, workflows):

ck-tensorrt icon ck-tensorrt

Collective Knowledge repository for NVIDIA's TensorRT

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Collective Knowledge experimental workflow to crowd-benchmark and crowd-tune Tiny DNN. Currently on stall due to lack of time and resources. Further info about collaborative DNN optimization:

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Portable and customizable Collective Knowledge workflows for TVM and VTA:

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Collective Knowledge workflow for ARM's workload automation tool: an open framework for gathering and sharing knowledge about system design and optimization using real-world workloads.

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Extra resources in the Collective Knowledge Format for ARM's Workload Automation Framework:

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ARM's workloads in the universal Collective Knowledge Format with JSON API and JSON meta information to power Workload Automation Framework

ck-web icon ck-web

Collective Knowledge web extension to browse CK repositories, visualize interactive graphs and articles, render CK-based websites, implement simple web services with JSON API (for example to crowdsource experiments or unify access to DNN). Demos of interactive articles, graphs and crowdsourced experiments:

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Minimal CK components for Windows

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Brainstorming and prototyping the 3rd generation of the Collective Knowledge technology:

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MLPerf inference results in the MLCommons CM format for the Collective Knowledge Platform

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Android application to participate in experiment crowdsourcing (such as workload crowd-benchmarking and crowd-tuning) using Collective Knowledge Framework and open repositories of knowledge:

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