Michael Brown
Employers on the program
- 2023IBM1 talk
- 2021–2022Amazon Web Services2 talks
Appearances by year
- AWS re:Invent
- PyTorch Conference
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Oct 16, 2023 | PyTorch Conference 2023 | PyTorch Conference | poster | Cloud Poster Presentations as IBM Dealing with I/O Bottlenecks in High Throughput Model Training - Jan Sellner, German Cancer Research Center Have you ever faced the problem of low GPU…Show lessDealing with I/O Bottlenecks in High Throughput Model Training - Jan Sellner, German Cancer Research Center Have you ever faced the problem of low GPU utilization due to data loading bottlenecks? I/O heavy workloads require optimized data loading strategies as otherwise the GPU usage is suboptimal... | |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | chalk talk | Container image signing on AWS as AWS Containers have become a common distribution solution for cloud-native applications and are driving the need for new innovations in software supply chain…Show lessContainers have become a common distribution solution for cloud-native applications and are driving the need for new innovations in software supply chain security. In this chalk talk, members of the AWS Signer and Amazon ECR teams walk you through open-source components and AWS Solutions to build a complete container image signing solution on AWS. | Slides |
| Nov 29, 2021 | AWS re:Invent 2021 | AWS re:Invent | chalk talk | A practical guide to building an industrial data lake on AWS as Amazon Web Services Analyzing the massive quantities and types of data generated in an industrial setting can enable effective predictive maintenance, improved production…Show lessAnalyzing the massive quantities and types of data generated in an industrial setting can enable effective predictive maintenance, improved production forecasting, improved quality, and better visibility into production optimization opportunities. An industrial data lake is foundational to help manage and store structured and unstructured data, enabling industrial organizations to unlock... | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Hamid Shojanazeri | 3 | — | 2023 |
| Alex Iankoulski | 2 | 1 | 2023 |
| Kanwaljit Khurmi | 2 | 1 | 2023 |
| Mark Saroufim | 2 | — | 2023 |
| Shubha Kumbadakone | 2 | — | 2023 |
| Aaron Edell | 2 | — | 2022 |
| Aaron Sengstacken | 2 | — | 2022 |
| Aarthi Raju | 2 | — | 2022 |
| Aashmeet Kalra | 2 | — | 2022 |
| Abhay Saxena | 2 | — | 2022 |
| Abhi Khanna | 2 | — | 2022 |
| Abhishek Naik | 2 | — | 2022 |
| Adam Boeglin | 2 | — | 2022 |
| Adam Hesch | 2 | — | 2022 |
| Adam Hill | 2 | — | 2022 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.