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Managing Parallelism
Program
Algorithmic Foundations for Emerging Computing Technologies
Location
Calvin Lab auditorium
Date
Monday, Oct. 20
–
Friday, Oct. 24, 2025
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Workshop & Symposia
Schedule | Managing Parallelism
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The Workshop
Schedule
Videos
All talks listed in Pacific Time. Schedule subject to change.
Monday, Oct. 20, 2025
8:30
–
9 a.m.
Coffee and Check-In
9
–
10:15 a.m.
AMPC
Jakub Lacki (Google Research)
Video
10:15
–
10:45 a.m.
Break
10:45
–
11:15 a.m.
The FIDS Theorems: Tensions between Multinode and Multicore Performance in Transactional Systems
Naama Ben David (Technion - Israel Institute of Technology)
Video
11:15
–
11:45 a.m.
The Parallel Batch-Dynamic Model with Asynchronous Reads
Quanquan Liu (Yale University)
Video
11:45 a.m.
–
2 p.m.
Lunch (on your own)
2
–
2:30 p.m.
Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search
Julian Shun (MIT)
Video
2:30
–
3 p.m.
Designing Parallel Data structures
Yan Gu (UC Riverside)
Video
3
–
3:30 p.m.
Scalable Zero-Knowledge Proof Made Easy
TB Schardl (MIT CSAIL)
Video
3:30
–
4:30 p.m.
Reception
Tuesday, Oct. 21, 2025
8:30
–
9 a.m.
Coffee and Check-In
9
–
10:15 a.m.
The challenge of managing parallelism and data-movement for tensor computations on GPUs
Saday Sadayappan (University of Utah)
Video
10:15
–
10:45 a.m.
Break
10:45
–
11:15 a.m.
Computational model and algorithms for tensor core units
Rezaul Chowdhury (Stony Brook University)
Video
11:15
–
11:45 a.m.
Cost semantics and static resource analysis for CUDA
Stefan Muller (University of Connecticut)
Video
11:45 a.m.
–
12:15 p.m.
Unstructured Sparsity Meets Tensor Cores: Lessons from Sparse Attention and MoE
Aparna Chandramowlishwaran (UC Irvine)
Video
12
–
3 p.m.
Lunch (on your own)
3
–
3:30 p.m.
Break (Reception for RMK Lecture)
3:30
–
4:30 p.m.
Richard M. Karp Distinguished Lecture
Robert Tarjan (Princeton University)
Video
Wednesday, Oct. 22, 2025
8:30
–
9 a.m.
Coffee and Check-In
9
–
10:15 a.m.
Parallelism in modern sparse solvers
Aydin Buluc (Lawrence Berkeley Lab)
Video
10:15
–
10:45 a.m.
Break
10:45
–
11:15 a.m.
Register Tiling for Unstructured Sparsity in Neural Network Inference
Maryam Mehri Dehnavi (NVIDIA Research and University of Toronto)
Video
11:15
–
11:45 a.m.
Automatic Parallelism Management
Sam Westrick (NYU)
Video
12
–
2 p.m.
Lunch (on your own)
2
–
2:30 p.m.
Scalable Parallel Algorithms
Yihan Sun (UC Riverside)
Video
2:30
–
3 p.m.
Scaling Parallel Algorithms to Massive Datasets using Multi-SSD Machines
Laxman Dhulipala (University of Maryland)
Video
Thursday, Oct. 23, 2025
8:30
–
9 a.m.
Coffee and Check-In
9
–
10:15 a.m.
Parallel Graph Algorithms
Jeremy Fineman (Georgetown University)
Video
10:15
–
10:45 a.m.
Break
10:45
–
11:15 a.m.
Breaking 3-Factor Approximation for Correlation Clustering in Polylogarithmic Rounds
Nairen Cao (NYU)
Video
11:15
–
11:45 a.m.
Load Balancing with Duration Predictions
Yossi Azar (Tel-Aviv University)
Video
11:45 a.m.
–
2 p.m.
Lunch (on your own)
2
–
2:30 p.m.
Parallel Cluster-BFS and Applications to Shortest Paths
Letong Wang (UC Riverside)
Video
2:30
–
3 p.m.
Combining and Aggregating for Fast Synchronization
Panagiota Fatourou (University of Crete)
Video
Friday, Oct. 24, 2025
8:30
–
9 a.m.
Coffee and Check-In
9
–
9:30 a.m.
Approximation hardness and online algorithms for resource scheduling
Rathish Das (University of Houston)
Video
9:30
–
10 a.m.
Dynamic Data Structures and Memory Management on GPUs
Prashant Pandey (Northeastern University)
Video
10:15
–
10:45 a.m.
Break
10:45
–
11:15 a.m.
On Interplanetary and Relativistic Distributed Computing
Siddhartha Jayanti (Dartmouth College)
Video
11:15
–
11:45 a.m.
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