MORPH reformulates ZKP MSM and NTT kernels into GEMM operations for TPUs using a new Big-T complexity model, achieving up to 10x NTT throughput over GZKP.
SIRO: empowering version compatibility in intermediate representations via program synthesis
4 Pith papers cite this work. Polarity classification is still indexing.
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SemanticXR introduces the first device-cloud system for real-time open-vocabulary semantic mapping and querying that organizes work around semantically identifiable objects to meet XR power, bandwidth, and memory limits.
NESA presents a neuro-symbolic framework that decomposes static analyses into policy-defined sub-problems solved by parsers and LLMs to enable compilation-free customizable analysis with reduced hallucinations.
ASTRA-sim 3.0 introduces cache-line load-store simulation, a detailed GPU execution model, and InfraGraph to support high-fidelity distributed machine learning infrastructure simulations.
citing papers explorer
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SemanticXR: Low Power and Real-time Queryable Semantic Mapping with an Object-Level Device-Cloud Architecture
SemanticXR introduces the first device-cloud system for real-time open-vocabulary semantic mapping and querying that organizes work around semantically identifiable objects to meet XR power, bandwidth, and memory limits.
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ASTRA-sim 3.0: Next-Level Distributed Machine Learning Simulations via High-Fidelity GPU and Infrastructure Modeling
ASTRA-sim 3.0 introduces cache-line load-store simulation, a detailed GPU execution model, and InfraGraph to support high-fidelity distributed machine learning infrastructure simulations.