Introduction to Distributed Memory Sparse Kernels For Machine Learning
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The Kernel Trick in Support Vector Machine (SVM)
[SPCL_Bcast] Parallel Sparse Matrix Algorithms for Data Analysis and Machine Learning
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Must Know Technique in GPU Computing | Episode 4: Tiled Matrix Multiplication in CUDA C
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[CTSTA'23] A General Distributed Framework for Contraction of a Sparse Tensor with a Tensor Network
What is Sparse Matrix - Machine Learning & Data Science Terminologies - DataMites
SparseP: Efficient Sparse Matrix Vector Multiplication on Real Processing-In-Memory Architectures
104 how to create a sparse matrix in python for data science and machine learning.
Communication-Avoiding and Memory-Constrained Sparse Matrix-Matrix Multiplication at Extreme Scale
Stanford CS231N | Spring 2025 | Lecture 11: Large Scale Distributed Training
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Last Updated: October 3, 2026
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Presentation by Vivek Bharadwaj (UC Berkeley) for the IPDPS'22 paper Vivek Bharadwaj, Aydın Buluç, James Demmel. Trenton Bricken, Harvard University Abstract: While Attention has come to be an important mechanism in Our research intern Alex Cuozzo discusses the book Presentation by Oguz Selvitopi (Lawrence Berkeley National Laboratory) for the ICS'21 paper Oguz Selvitopi, Benjamin Brock, ... SVM can only produce linear boundaries between classes by default, which not enough for most Speaker: Aydın Buluç Venue: SPCL_Bcast, recorded on 24 March, 2022 Abstract: In addition to the traditional theory and ... Tiled (general) Matrix Multiplication from scratch in CUDA C. Code Repo: ... This video is part of an online course, Intro to Parallel Programming. the course here: ... Presentation by Ariful Azad (Indiana University) for the IPDPS'21 paper Md Taufique Hussain, Oguz Selvitopi, Aydin Buluç, Ariful ...
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