Runtime Profiling

PerfMamba: Performance Analysis and Pruning of Selective State Space Models
Research summary of PerfMamba, a Springer conference paper on performance analysis, runtime profiling, scaling behavior, and pruning of Mamba-1 and Mamba-2 selective state space models.
Mobina Kashaniyan
Posted Jul 2, 2026 Research Summary, Efficient AI, High-Performance Computing, Machine Learning Systems
PerfMamba: Performance Analysis and Pruning of Selective State Space Models
PerfMamba analyzes the runtime behavior, resource utilization, memory access patterns, scaling properties, and pruning opportunities of Mamba-1 and Mamba-2 selective state space models.
Abdullah Al Asif, Mobina Kashaniyan, Sixing Yu, Juan Pablo Muñoz, Ali Jannesari
Posted Jan 1, 2026 Conference Paper, Efficient AI, High-Performance Computing
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