Tag: research
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Practical Tips for Machine Learning Research and Development
Machine learning projects require a different approach compared to traditional software development. After working on numerous ML projects, I’ve compiled practical tips to streamline the research and development process. This guide doesn’t require specific ML knowledge but focuses on effective workflows and organizational strategies. Development: Setting Up for Success The development phase focuses on creating…
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Cadence Training Learning Maps
This post serves as a portal for naviating through the Cadence Online Learning Courses. As there are lots of components in their product suite, the learn maps cover different aspects for IC design. The Learning Maps file is publicly available from Cadence Website, the specific course materials need access from Cadence. Cadence Training Learning Maps…
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Tikz Trove
https://github.com/xiaohanyu/awesome-tikz https://github.com/PetarV-/TikZ neural network: https://tikz.net/neural_networks Neural Network 1D-2D Cross-Connection Visualization Keywords: Technical illustration, Network topology, Dimensional transition diagram, Feature transformation, Node connectivity visualization, Matrix representation A technical visualization demonstrating the dimensional transformation between 1D and 2D feature spaces in neural networks through an interconnected node matrix system. 2D Convolution Operation Visualization Keywords: Mathematical visualization, Convolution…
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Accelerate Pytorch
Use Pytorch to accelerate with GPU or apple silicon with Metal
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Exploiting 2.5D/3D Heterogeneous Integration for AI Computing
References Exploiting 2.5D/3D Heterogeneous Integration for AI Computing1 Benchmarking Heterogeneous Integration with 2.5D/3D Interconnect Modeling2 End-to-End Benchmarking of Chiplet-Based In-Memory Computing3 Summary HISIM4, a modeling and benchmarking tool for heterogeneous integration of chiplets by communicating through NoP5. Components: partitioning, mapping and placement; computing unit/processing unit; heterogeneous interconnection; network/routing engine; thermal analysis. technology roadmap6, power/latency prediction,…
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A guide on how to use Advanced Research Computing at Virginia Tech
Virginia Tech provides computing resources for computing with is suitable for simulations, machine learning model training, which called Advanced Research Computing. It provides a user friendly guide on how to use its system, but I think it would be nicer to try to summarize the most essential ones when you want to use it in…