Data Intensive Scalable Computing: Applying Google-Style Computing to eScience

October 16, 2009
Randal E. Bryant | Carnegie Mellon University

- Jeff Running

Watch Next

Dion2: A new simple method to shrink matrix in Muon
March 3, 2026
Anson Ho,

Kwangjun Ahn
ARO: A new lens on matrix optimization for LLMs
March 3, 2026
Anson Ho,

Wenbo Gong,

Chao Ma
Lessons from deploying HealthBots with experts-in-the-loop
March 3, 2026
Anson Ho,

Mohit Jain
Teaching small language models to think like optimization experts with OptiMind
March 3, 2026
Anson Ho,

Xinzhi Zhang
Agent Lightning: One learning system that makes all agents evolve
March 3, 2026
Anson Ho,

Luna K. Qiu
Magentic Marketplace: Testing societies of agents at scale
March 3, 2026
Gagan Bansal,

Anson Ho
CROSS — Leveraging AI ASICs for Homomorphic Encryption
February 26, 2026
Jianming Tong
Beyond Swahili: Designing Inclusive AI for Bantu Languages
February 17, 2026
Alfred Malengo Kondoro
Bridging Neurotechnology with Immersive Systems: Getting BCIs outside of the lab?
February 12, 2026
Hakim Si-Mohammed
Efficient Distributed Orthonormal Optimizers for Large-Scale Training
February 12, 2026
Kwangjun Ahn