15 papers
SPEC CPU2026: Characterization, Representativeness, and Cross-Suite Comparison
Ruihao Li, Andrew Jacob, Neeraja J. Yadwadkar +1
Specialized accelerators dominate AI workloads, but CPUs remain critical for latency-sensitive workloads, agentic AI, and many other everyday services. Their performance therefore…
SEAOTTER: Sensor Embedded Autoencoding with One-Time Transcode for Efficient Reconstruction
Dan Jacobellis, Neeraja J. Yadwadkar
In robotics systems, vast amounts of visual data are easily captured at high resolution using low-cost, low-power hardware. Yet, limited bandwidth and on-device compute resources p…
FRAPPE: Full Input, Residual Output Autoencoding with Projection Pursuit Encoder
Dan Jacobellis, Neeraja J. Yadwadkar
Media compression standards have reached a plateau in terms of the rate-distortion-complexity trade-off, limiting the ability to offload expensive AI perception to the cloud in app…
LiVeAction: a Lightweight, Versatile, and Asymmetric Neural Codec Design for Real-time Operation
Dan Jacobellis, Neeraja J. Yadwadkar
Modern sensors generate rich, high-fidelity data, yet applications operating on wearable or remote sensing devices remain constrained by bandwidth and power budgets. Standardized c…
DeDelayed: Deleting Remote Inference Delay via On-Device Correction
Dan Jacobellis, Mateen Ulhaq, Fabien Racapé +2
Video comprises the vast majority of bits that are generated daily, and is the primary signal driving current innovations in robotics, remote sensing, and wearable technology. Yet,…
Composer: A Search Framework for Hybrid Neural Architecture Design
Bilge Acun, Prasoon Sinha, Newsha Ardalani +7
Hybrid model architectures that combine computational primitives (e.g., Attention, MLP) in different ratios have shown promising performance beyond Transformers. Some studies have…