9th Workshop on Accelerated Machine Learning (AccML)
About This Conference
The 9th Workshop on Accelerated Machine Learning (AccML) provides a premier forum for researchers and practitioners to explore the intersection of high-performance computing and advanced AI architectures. This event focuses on hardware-software co-design, specialized accelerators, and algorithmic optimizations aimed at overcoming the computational bottlenecks of modern machine learning models. By fostering interdisciplinary collaboration, the workshop serves as a critical venue for driving the next generation of efficient, scalable, and high-throughput AI systems.
Call for Papers
We invite original research contributions addressing hardware acceleration, domain-specific architectures, and innovative software-level optimizations for machine learning workloads. Submissions highlighting novel methodologies, empirical performance evaluations, and architectural frameworks that push the boundaries of current computational capabilities are particularly encouraged.
Details
Start Date
Jan 19, 2027
End Date
Jan 19, 2027
Deadline
Nov 13, 2026
Format
In-Person
Views
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