4 papers
Hydra: Phase-Aware Workload Characterization of LLM Inference across Edge SoC Generations, Backends, and Quantization Levels
Amir Taherin, Sana Taghipour Anvari, Charles Amante +9
Edge LLM deployment is shaped by more than model size and precision: inference backend, hardware platform, memory traffic, and power management all affect latency and efficiency. W…
DRIFT: Direct Reduced Fourier Transforms for Distributed Spectral Neural Operators
Sana Taghipour Anvari, David Kaeli
Fourier Neural Operators (FNOs) learn solution operators for partial differential equations and offer orders of magnitude speedup over traditional numerical solvers at inference ti…
A Granularity Characterization of Task Scheduling Effectiveness
Sana Taghipour Anvari, David Kaeli
Task-based runtime systems provide flexible load balancing and portability for parallel scientific applications, but their strong scaling is highly sensitive to task granularity. A…
DaggerFFT: A Distributed FFT Framework Using Task Scheduling in Julia
Sana Taghipour Anvari, Julian Samaroo, Matin Raayai Ardakani +1
The Fast Fourier Transform (FFT) is a fundamental numerical technique with widespread application in a range of scientific problems. As scientific simulations attempt to exploit ex…