- adaptive batch sizes 1
- approximation methods 1
- autograding 1
- block coordinate descent 1
- brokering 1
- cloud computing 2
- cloud federation 1
- clustering 1
- communication avoidance 8
- community structure 1
- computational science 1
- convex optimization 1
- coordinate descent 2
- cyberinfrastructure 1
- data compression 1
- deep learning 1
- distributed-memory 9
- explainability 1
- first-order methods 1
- generalized linear models 2
- GPU programming 3
- GPU training 1
- graph neural networks 1
- high-performance computing 2
- high-performance computing education 1
- HOOI 1
- k-means 1
- kernel methods 2
- least squares 1
- logistic regression 1
- matrix factorization 1
- mixed precision 1
- MPI 1
- neural networks 1
- online education 1
- parallel algorithms 3
- parallel optimization 3
- parallel programming 1
- partitioned local depths 1
- performance optimization 1
- proximal methods 1
- proximal Newton methods 1
- s-step 1
- s-step methods 2
- scientific data analytics 1
- scientific workflows 1
- service models 1
- Shapley values 1
- shared-memory 1
- shared-memory parallelism 1
- software as a service 1
- Spark 3
- sparse convex optimization 1
- sparse least squares 1
- sparse models 1
- stochastic gradient descent 4
- support vector machines 1
- synchronization avoidance 1
- t-SVDM 1
- tensor decomposition 2
- Tucker decomposition 1
- XSEDE 1