Distributed-Memory Sparse Kernels for Machine Learning.
Vivek BharadwajAydin BuluçJames DemmelPublished in: CoRR (2022)
Keyphrases
- distributed memory
- machine learning
- shared memory
- kernel methods
- ibm sp
- parallel implementation
- multiprocessor systems
- fine grain
- parallel computers
- multiple kernel
- data parallelism
- parallel architecture
- parallel processing
- feature selection
- parallel machines
- multi processor
- scientific computing
- high dimensional
- support vector
- learning problems
- feature space
- kernel function
- matrix multiplication
- computer vision
- message passing
- support vector machine
- multiple kernel learning
- parallel algorithm
- np hard