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Found 9 papers, 7 papers with code
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI
Rapid adoption of machine learning (ML) technologies has led to a surge in power consumption across diverse systems, from tiny IoT devices to massive datacenter clusters.
Dynamic Network selection for the Object Detection task: why it matters and what we (didn't) achieve
We benchmarked different neural networks to find the optimal detector for the well-known COCO 17 database, and we demonstrate that even if we only consider the quality of the prediction there is not a single optimal network.
Benchmarking TinyML Systems: Challenges and Direction
In this position paper, we present the current landscape of TinyML and discuss the challenges and direction towards developing a fair and useful hardware benchmark for TinyML workloads.
Introducing ReQuEST: an Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments
Co-designing efficient machine learning based systems across the whole hardware/software stack to trade off speed, accuracy, energy and costs is becoming extremely complex and time consuming.
A Collective Knowledge workflow for collaborative research into multi-objective autotuning and machine learning techniques
Developing efficient software and hardware has never been harder whether it is for a tiny IoT device or an Exascale supercomputer.
Human-Computer Interaction Computers and Society
GEMMbench: a framework for reproducible and collaborative benchmarking of matrix multiplication
We introduce GEMMbench, a framework and methodology for evaluating performance of GEMM implementations.
Mathematical Software Performance
Collective Mind, Part II: Towards Performance- and Cost-Aware Software Engineering as a Natural Science
Nowadays, engineers have to develop software often without even knowing which hardware it will eventually run on in numerous mobile phones, tablets, desktops, laptops, data centers, supercomputers and cloud services.
Proceedings of the DATE Friday Workshop on Heterogeneous Architectures and Design Methods for Embedded Image Systems (HIS 2015)
This volume contains the papers accepted at the DATE Friday Workshop on Heterogeneous Architectures and Design Methods for Embedded Image Systems (HIS 2015), held in Grenoble, France, March 13, 2015.
