355 citations · 980 across the 44 of their papers we have counts for
52 papers
Acceleration of Data Analytics on Heterogeneous Supercloud Systems
Georgios Zacharopoulos, Ilias Bournias, Lukas Cavigelli
Heterogeneous Supercloud systems are transforming data analytics by enabling scalable and efficient task distribution across diverse resources. This paper presents computational mo…
Explicit Sign-Magnitude Encoders Enable Power-Efficient Multipliers
Felix Arnold, Maxence Bouvier, Ryan Amaudruz +2
This work presents a method to maximize power-efficiency of fixed point multiplier units by decomposing them into sub-components. First, an encoder block converts the operands from…
Deep Recommender Models Inference: Automatic Asymmetric Data Flow Optimization
Giuseppe Ruggeri, Renzo Andri, Daniele Jahier Pagliari +1
Deep Recommender Models (DLRMs) inference is a fundamental AI workload accounting for more than 79% of the total AI workload in Meta's data centers. DLRMs' performance bottleneck i…
GENIAL: Generative Design Space Exploration via Network Inversion for Low Power Algorithmic Logic Units
Maxence Bouvier, Ryan Amaudruz, Felix Arnold +2
As AI workloads proliferate, optimizing arithmetic units is becoming increasingly important for reducing the footprint of digital systems. Conventional design flows, which often re…
The Art of Beating the Odds with Predictor-Guided Random Design Space Exploration
Felix Arnold, Maxence Bouvier, Ryan Amaudruz +2
This work introduces an innovative method for improving combinational digital circuits through random exploration in MIG-based synthesis. High-quality circuits are crucial for perf…
Top-Theta Attention: Sparsifying Transformers by Compensated Thresholding
Konstantin Berestizshevsky, Renzo Andri, Lukas Cavigelli
We present Top-Theta (Top-) Attention, a training-free method for sparsifying transformer attention during inference. Our key insight is that static, per-head thresholds can be…