[hpc-announce] [DEADLINE EXTENDED] AsHES 2024 - 14th International Workshop on Accelerators and Hybrid Emerging Systems in conjunction with IPDPS 2024

[Nikela Papadopoulou]

==== Call For Papers ====

AsHES 2024

The 14th International Workshop on Accelerators and Hybrid Emerging Systems.

https://www.ashes-hpc.org/

To be held in conjunction with IPDPS 2024 (May 27-31, 2024) San Francisco, California, USA (in person)

==== Important Dates (AoE) [UPDATED] ====

Paper Submission [EXTENDED]: January 26, 2024
Paper Notification: February 22, 2024
Camera-ready Submission: February 29

==== Paper Tracks and Submission Guidelines ====

There are two paper tracks available for AsHES 2024:
1) Full paper track (8 - 10 pages) including citations.
2) Short paper track (maximum of 4 pages) including citations; meant to highlight early investigations of innovative ideas.

Submission site: https://easychair.org/my/conference?conf=ashes2024

==== Workshop Scope and Goals ====

AsHES focuses on understanding the implications of accelerators and heterogeneous designs on the hardware systems, porting applications, performing compiler optimizations, and developing programming environments for current and emerging systems. It seeks to ground accelerator research through studies of application kernels or whole applications on such systems, as well as tools and libraries and runtime systems that improve the performance and productivity of applications on these systems. Topics of interest include (but are not limited to):

- Applications for GPU-based systems, and hybrid/heterogeneous systems
- Techniques for optimizing kernels for execution on GPUs, FPGAs, TPUs, DPUs, and new emerging heterogeneous platforms
- Strategies for programming heterogeneous systems using high-level models such as OpenMP, OpenACC, SYCL, OneAPI, Kokkos, Raja, and low-level models such as OpenCL, CUDA
- Methods and tools to tackle challenges from heterogeneity in AI/ML/DL, Big Data, Cloud Computing, Edge-Computing, Real-time Systems, and High-Performance Computing
- Strategies for application behavior characterization and performance optimization for accelerators
- Models of application performance on heterogeneous and accelerated HPC systems
- Compiler Optimizations and tuning heterogeneous systems including parallelization, loop transformation, locality optimizations, vectorization
- Implications of workload characterization in heterogeneous and accelerated architecture design
- Benchmarking and performance evaluation for heterogeneous systems at all levels of the system stack
- Tools and techniques to address both performance and correctness to assist application development for accelerators and heterogeneous processors
- System software techniques to abstract application domain-specific functionalities for accelerators
- Innovative use of heterogeneous computing in AI for science or optimizations for AI
- Design and use of domain-specific functionalities on accelerators

==== Organizing Committee ====

General Chair
 - Shintaro Iwasaki (Meta AI, USA)
Program Co-Chairs
 - Nikela Papadopoulou (Chalmers University of Technology, Sweden)
 - Carl Pearson (Sandia National Laboratories, USA)

==== Social Media ====

For updates, follow AsHES 2024 on X (formerly Twitter) @AsHESWorks (https://twitter.com/AsHESWorks)