Topics include, but are not limited to:

Vector and General-Purpose Architectures

• Vector processing architectures and VPUs
• Chiplet-based heterogeneous systems
• Reconfigurable VPUs and adaptive execution engines
• Memory management accelerators
• Novel ISA and microarchitectural extensions
• Energy-efficient and power-aware architectures
• Scalable manycore and heterogeneous systems

High-Performance Computing

• Scalable HPC architectures and exascale systems
• HPC-oriented RISC-V processors and accelerators
• Communication-efficient distributed computing systems
• Runtime systems and compiler optimizations for HPC
• Hardware/software co-design for scientific computing
• Energy-efficient HPC systems and sustainability
• Heterogeneous HPC platforms integrating CPUs, GPUs, and AI accelerators
• Fault tolerance, resilience, and reliability in large-scale systems

AI and Accelerators

• On-device learning and refinement hardware
• Training-aware AI accelerators (AIPUs)
• RISC-V matrix extensions (IME, AME)
• Scalable AI communication infrastructures
• Distributed and multi-AIPU systems
• Sparse and irregular workload acceleration
• AI hardware/software co-design

Reliability and System Architecture

• Reliability, Availability, and Serviceability (RAS)
• Fault tolerance and resilient architectures
• Runtime monitoring and adaptive systems
• Security and trustworthy architectures

Hardware-Software Co-Design

• Compiler and runtime innovations
• Emerging software stacks for heterogeneous systems
• Application-driven architectural exploration
• Performance modeling and simulation
• Hardware/software co-design methodologies
• Programming models for future architectures

Emerging Applications

• Scientific computing
• Data analytics and databases
• Genomics and bioinformatics
• Adaptive and autonomous systems
• Foundation model infrastructure
• HPC-AI convergence