Call for Presentations
Data movement is now often the most significant constraint on speed, throughput, and power consumption for applications in a wide range of domains. Unfortunately, modern memory systems are almost always hierarchical, parallel, dynamically allocated and shared, making them hard to model and analyze. In addition, the complexity of these systems is rapidly increasing due to the advent of new technologies such as Intel Optane and high-bandwidth memory (HBM).
Conventional solutions to memory hierarchy optimization problems are often compartmentalized and heuristic-driven; in the modern era of complex memory systems these lack the rigor and robustness to be fully effective. Going forward, research on performance in the memory hierarchy must adapt, ideally creating theories of memory that aim at formal, rigorous performance and correctness models, as well as optimizations that are based on mathematics, ensure reproducible results, and have provable guarantees.
PMHO 2021 is a forum dedicated to the theoretical aspect of memory hierarchies as well as their programming models and optimization.
Format and Topics
PMHO 2021 will be a specialized and topic-driven workshop to present ongoing, under review, or previously published work related to the following non-exhaustive topic list:
- Mathematical and theoretical models of memory hierarchies including CPU/GPU/accelerator caches, software caching systems, key-value stores, network caches and storage system caches
- Algorithmic and formal aspects of cache management including virtual memory
- Programming models and compiler optimization of hierarchical complex memory systems
There will be no formal peer review process or publication, and presentations will be a mix of selections from submissions and invited presentations.
The workshop will take place online Sunday February 28, 2021.
Submit your presentation proposal to save-g4jFdqmK9rqH@3.basecamp.com. Submissions should consist of an one-page abstract of the topic you intend to present alongside any (optional) pertinent publications or preprints.
The submission deadline is Friday January 22, 2021 AOE.
- Chen Ding, University of Rochester
- Xipeng Shen, North Carolina State University
- Wesley Smith, University of Rochester