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Caffe2 Now Optimized for ARM Mobile GPUs | Caffe2

https://caffe2.ai/blog/2018/02/23/Caffe2_Now_Optimized_for_ARM_Mobile_GPUs.html

Caffe2 Now Optimized for ARM Mobile GPUs Posted February 23, 2018 Developers are looking to apply AI to an ever expanding range of use cases. As we look to broaden how …


What Is Intel® Optimization for Caffe*

https://www.intel.com/content/www/us/en/developer/videos/what-is-intel-optimization-for-caffe.html

Caffe* is a deep learning framework that is useful for convolutional and fully connected networks, and recently recurrent neural networks were added. There are various …


Understanding NUMA using Intel® Optimization for Caffe*

https://www.intel.com/content/www/us/en/developer/articles/technical/understanding-numa-using-intel-optimization-for-caffe.html

I0312 20:25:35.617892 323790 caffe.cpp:345] Optimization Done. real 8m5.952s user 256m16.212s sys 2m3.563s Code block 5. Optimized elapsed time (distributed training …


Caffe | Solver / Model Optimization - Berkeley Vision

http://caffe.berkeleyvision.org/tutorial/solver.html


Caffe | Deep Learning Framework

http://caffe.berkeleyvision.org/

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research ( BAIR) and by community contributors. Yangqing Jia …


Timewarp - Projects - Optimizing Caffe for Multicore CPU

https://timewarp.adarshpatil.in/projects/caffe-optimization-for-multicore-cpu.html

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors. …


Deploying a Caffe MNIST model using the Arm NN SDK

https://developer.arm.com/-/media/Arm%20Developer%20Community/PDF/Machine%20Learning/Machine%20Learning%20PDF%20Tutorials/Deploying%20a%20Caffe%20MNIST%20model%20using%20the%20Arm%20NN%20SDK.pdf?revision=3a416222-7c19-41a5-ac8c-e4a345b277d0

For convenience, the Arm NN SDK can run with a reference implementation on x86 for development and testing, but the optimized kernels are only available for Arm CPUs and GPUs. …


GitHub - ctuning/ck-caffe2: Integration of Caffe2 to …

https://github.com/ctuning/ck-caffe2

CK-Caffe, CK-Caffe2, CK-Tensorflow are part of an ambitious long-term and community-driven project to enable collaborative and systematic optimization of realistic workloads across …


Comparison between Caffe and ArmnnCaffeParser …

https://github.com/ARM-software/armnn/issues/10

I'm trying to compare the processing time running a convolutional network with Caffe C++ library and ArmnnCaffeParser built on ARM ComputeLibrary. These are details: target …


Documentation – Arm Developer - ARM architecture family

https://developer.arm.com/documentation/100748/0612/using-common-compiler-options/selecting-optimization-options

Optimization level -O1-O1 enables the core optimizations in the compiler. This optimization level provides a good debug experience with better code quality than -O0. Also the stack usage is …


Using Streamline to Guide Cache Optimization - Arm Community

https://community.arm.com/arm-community-blogs/b/tools-software-ides-blog/posts/using-streamline-to-guide-cache-optimization

In this guide I will demonstrate using Streamline to drive cache optimization and identify areas of inefficiency. I have used the Juno ARM Development Platform for the …


tensorRT_optimization does not parse Slice Caffe layers

https://forums.developer.nvidia.com/t/tensorrt-optimization-does-not-parse-slice-caffe-layers/50629

So I tried. ./tensorRT_optimization --prototxt=<path to my caffe prototxt file> --caffemodel=<path to my caffemodel file> --outputBlobs=bboxes. and I get. Initializing network …


FFR-Guided PCI Optimization Directed by High-Definition IVUS

https://pubmed.ncbi.nlm.nih.gov/35981832/

A total of 104 (68.4%) vessels in the IVUS-guided optimization arm underwent additional optimization including additional stenting (34.9%) or postdilatation only (33.6%), …


NUMA-Caffe: NUMA-Aware Deep Learning Neural Networks

https://dl.acm.org/doi/10.1145/3199605

NUMA-Caffe is independent of DNN topology, does not impact network convergence rates, and provides superior scalability to the existing Caffe variants. Through a thorough empirical study …


ARM Announces Processor Optimization Pack - edacafe.com

https://www.edacafe.com/nbc/articles/1/888782/ARM-Announces-Processor-Optimization-Pack

ARM Announces Processor Optimization Pack: ARM delivers optimized Artisan physical IP enabling SoC designers to achieve up to 1.7 GHz performance on TSMC 40nm G process in …

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