[SPCL_Bcast #50] Hardware-aware Algorithms for Language Modeling

(1:5:15)

[SPCL_Bcast #52] Deep learning can beat numerical weather prediction! What's next?

(1:9:38)

[SPCL_Bcast] Democratizing Deep Learning with DeepHyper

(1:35)

[SPCL_Bcast] Follow the Data: Memory-Centric Designs for Modern Datacenters

(1:2:6)

[SPCL_Bcast] Self-Adjusting Networks

(40:27)

[SPCL_Bcast] Challenges of Scaling Deep Learning on HPC Systems

(59:16)

[SPCL_Bcast] Towards Next-Generation Numerical Methods with Physics-Informed Neural Networks

(48:46)

[SPCL_Bcast #51] Neural Network Quantization with Brevitas

(1:7:23)

[SPCL_Bcast] Parallel Sparse Matrix Algorithms for Data Analysis and Machine Learning

(57:45)

[SPCL_Bcast] Scalable Graph Machine Learning

(59:51)

[SPCL_Bcast] Next-generation Networks for Machine Learning

(49:57)

[SPCL_Bcast] HPC and AI/ML: A Synergistic Relationship

(58:33)

[SPCL_Bcast] Tools \u0026 Techniques for the Frontier Exascale System: Challenges vs Opportunities

(45:45)

[SPCL_Bcast] Optimization of Data Movement for Convolutional Neural Networks

(51:18)

[SPCL_Bcast] TinyML and Efficient Deep Learning

(37:51)

[SPCL_Bcast] A Paradigm Shift to Second Order Methods for Machine Learning

(43:5)

[SPCL_Bcast] Realizing Petabit/s IO and sub-pJ/bit System-wide Communication with Silicon Photonics

(1:55)

[SPCL_Bcast] Automating Distributed Heterogeneous Computing for Domain Experts

(55:50)