Co-located with Euro-Par 2023, Limassol, Cyprus
The goal of the TDLPP workshop is to provide a venue for developers and users of tools that address the important topic of memory access optimization. While hardware continues to evolve and high-bandwidth memory becomes available in accelerators and mainstream CPUs, the gap between compute capability (in terms of arithmetic operations per second) and the speed of memory (in terms of access latency or amount of bytes transferred) continues to widen. Tools are thus needed to help developers understand the behavior of their codes to support them with optimizing and modeling their applications. This is especially true in application areas that involve sparse matrices, tensors, or graphs.
Submissions must be prepared in Springer LNCS format and between ten and twelve pages in length, including text, the references section, appendices, and figures. All submissions will be reviewed by at least three members of the program committee, in a double-blind review process. Papers will get assessed for novelty, relevance, and quality of the presentation. Accepted papers will be published by by Springer in the LNCS series.
Please submit your paper using Easychair and select the International Workshop on Tools for Data Locality, Power and Performance track.
The TDLPP workshop is organized in the context of the EuroHPC project SparCity.
SparCity aims at creating a supercomputing framework to provide efficient algorithms and coherent tools for maximizing the performance and energy efficiency of sparse computations on emerging HPC systems, while also opening up new usage areas for sparse computations in data analytics and deep learning.