Posts in 2024
FZ Workshop At OSU
Sunday, September 08, 2024 in Meetings
2 minute read
Thank you for attending the FZ workshop at Columbus! Key Information and Links: We use Eastern Time (ET) for this workshop. Date: Sept. 17-18, (Day 1) 8:30 AM to 5:00 PM, (Day 2) 8:30-noon Address: Ohio State University Dept. of Computer Science …
FZ workshop
Friday, January 05, 2024 in Meetings
3 minute read
Thank you for considering attending the FZ workshop at Sarasota! Dates, address, contact: Date: Feb 14-15, 9:00 AM to 5:00 PM Address: The John and Mable Ringling Museum of Art, 5401 Bay Shore Rd, Sarasota, FL 34243 Meeting room: Chao Lecture Hall. …
Posts in 2023
Kickoff Meeting
Tuesday, June 27, 2023 in Meetings
2 minute read
Thank you for considering attending the FZ Kickoff Meeting! All slides for talks in the meeting can be found in this shared folder. Here is the schedule: 8:30 AM Welcome/intro/presentation of the schedule: 15 minutes 8:45 AM Review of the project …
Posts in 2021
ISC21 Tutorial
Thursday, June 24, 2021 in Meetings
less than a minute
The ISC Tutorials are interactive courses focusing on key topics of high performance computing, networking, storage, and data science. Renowned experts in their respective fields will give attendees a comprehensive introduction to the topic as well …
Posts in 2020
International Workshop on Big Data Reduction (IWBDR)
Thursday, December 10, 2020 in Meetings
2 minute read
Today’s modern applications are producing too large volumes of data to be stored, processed, or transferred efficiently. Data reduction is becoming an indispensable technique in many domains because it can offer a great capability to reduce the data …
Lossy Compression for Scientific Data - Success Stories
Wednesday, May 20, 2020 in Meetings
less than a minute
Compression for scientific data
ECP Annual Meeting tutorial
Wednesday, May 20, 2020 in Meetings
less than a minute
Compression for scientific data
Posts in 2019
Lossy Compression for scientific data
Tuesday, December 31, 2019 in Meetings
2 minute read
Large-scale numerical simulations and experiments are generating very large datasets that are difficult to analyze, store and transfer. This problem will be exacerbated for future generations of systems. Data reduction becomes a necessity in order to …
Compression for scientific data
Sunday, June 16, 2019 in Meetings
less than a minute
DescriptionLarge-scale numerical simulations, observations and experiments are generating very large datasets that are difficult to analyze, store and transfer. Data compression is an attractive and efficient technique to significantly reduce the …