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AsHES 2024 : The Fourteenth International Workshop on Accelerators and Hybrid Emerging Systems


When May 27, 2024 - May 31, 2024
Where San Francisco, California, USA
Submission Deadline Jan 19, 2024
Notification Due Feb 22, 2024
Final Version Due Feb 29, 2024
Categories    hardware architecture   accelerators   HPC   heterogeneous computing

Call For Papers

==== Call For Papers ====

AsHES 2024

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

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

==== Important Dates (AoE) ====

Paper Submission: January 19, 2024
Paper Notification: February 22, 2024
Final Version Due: February 29, 2024

==== 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,
- 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
- 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

==== 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:

==== 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)

==== Questions ====

Please send any queries about the workshop to

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