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