Reduced-Mass Orbital AI Inference via Integrated Solar, Compute, and Radiator Panels
Fuente:
arXiv
Saved in:
| Main Authors: | Gaalema, Stephen, Indyk, Samuel, Staley, Clinton |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Achieving Dependability of AI Execution with Radiation Hardened Processors
by: Taquichiri, Carlos Rafael Tordoya, et al.
Published: (2025)
by: Taquichiri, Carlos Rafael Tordoya, et al.
Published: (2025)
Modeling Short-Range Microwave Networks to Scale Superconducting Quantum Computation
by: LaRacuente, Nicholas, et al.
Published: (2022)
by: LaRacuente, Nicholas, et al.
Published: (2022)
FengHuang: Next-Generation Memory Orchestration for AI Inferencing
by: Li, Jiamin, et al.
Published: (2025)
by: Li, Jiamin, et al.
Published: (2025)
Exploring the Efficiency of 3D-Stacked AI Chip Architecture for LLM Inference with Voxel
by: Liu, Yiqi, et al.
Published: (2026)
by: Liu, Yiqi, et al.
Published: (2026)
SLIM: A Heterogeneous Accelerator for Edge Inference of Sparse Large Language Model via Adaptive Thresholding
by: Xu, Weihong, et al.
Published: (2025)
by: Xu, Weihong, et al.
Published: (2025)
Heterogeneous Computing: The Key to Powering the Future of AI Agent Inference
by: Zhao, Yiren, et al.
Published: (2026)
by: Zhao, Yiren, et al.
Published: (2026)
Memory-Centric Computing: Solving Computing's Memory Problem
by: Mutlu, Onur, et al.
Published: (2025)
by: Mutlu, Onur, et al.
Published: (2025)
Atomique: A Quantum Compiler for Reconfigurable Neutral Atom Arrays
by: Wang, Hanrui, et al.
Published: (2023)
by: Wang, Hanrui, et al.
Published: (2023)
ML-QLS: Multilevel Quantum Layout Synthesis
by: Lin, Wan-Hsuan, et al.
Published: (2024)
by: Lin, Wan-Hsuan, et al.
Published: (2024)
Residue Number System (RNS) based Distributed Quantum Addition
by: Gaur, Bhaskar, et al.
Published: (2024)
by: Gaur, Bhaskar, et al.
Published: (2024)
Distributed quantum computing with black-box subroutines
by: Xu, X., et al.
Published: (2025)
by: Xu, X., et al.
Published: (2025)
Characterizing CPU-Induced Slowdowns in Multi-GPU LLM Inference
by: Chung, Euijun, et al.
Published: (2026)
by: Chung, Euijun, et al.
Published: (2026)
Understanding Bottlenecks for Efficiently Serving LLM Inference With KV Offloading
by: Meng, William, et al.
Published: (2025)
by: Meng, William, et al.
Published: (2025)
Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems
by: Zhang, Chen, et al.
Published: (2026)
by: Zhang, Chen, et al.
Published: (2026)
Automated Deep Neural Network Inference Partitioning for Distributed Embedded Systems
by: Kreß, Fabian, et al.
Published: (2024)
by: Kreß, Fabian, et al.
Published: (2024)
PIUMA: Programmable Integrated Unified Memory Architecture
by: Aananthakrishnan, Sriram, et al.
Published: (2020)
by: Aananthakrishnan, Sriram, et al.
Published: (2020)
Revisiting Computational Storage for Data Integrity and Security
by: Shi, Chao, et al.
Published: (2025)
by: Shi, Chao, et al.
Published: (2025)
HgPCN: A Heterogeneous Architecture for E2E Embedded Point Cloud Inference
by: Gao, Yiming, et al.
Published: (2025)
by: Gao, Yiming, et al.
Published: (2025)
Optimizing Task Scheduling in Fog Computing with Deadline Awareness
by: Sirjani, Mohammad Sadegh, et al.
Published: (2025)
by: Sirjani, Mohammad Sadegh, et al.
Published: (2025)
Memory-Centric Computing: Recent Advances in Processing-in-DRAM
by: Mutlu, Onur, et al.
Published: (2024)
by: Mutlu, Onur, et al.
Published: (2024)
Optimizing Distributed ML Communication with Fused Computation-Collective Operations
by: Punniyamurthy, Kishore, et al.
Published: (2023)
by: Punniyamurthy, Kishore, et al.
Published: (2023)
Optimizing ML Concurrent Computation and Communication with GPU DMA Engines
by: Agrawal, Anirudha, et al.
Published: (2024)
by: Agrawal, Anirudha, et al.
Published: (2024)
Accelerating MoE with Dynamic In-Switch Computing on Multi-GPUs
by: Zhang, Qijun, et al.
Published: (2026)
by: Zhang, Qijun, et al.
Published: (2026)
Enabling Mixed criticality applications for the Versal AI-Engines
by: Sprave, Vincent, et al.
Published: (2026)
by: Sprave, Vincent, et al.
Published: (2026)
Knowledge-Guided Attention-Inspired Learning for Task Offloading in Vehicle Edge Computing
by: Ma, Ke, et al.
Published: (2025)
by: Ma, Ke, et al.
Published: (2025)
BlockAMC: Scalable In-Memory Analog Matrix Computing for Solving Linear Systems
by: Pan, Lunshuai, et al.
Published: (2024)
by: Pan, Lunshuai, et al.
Published: (2024)
Deep Learning and Machine Learning with GPGPU and CUDA: Unlocking the Power of Parallel Computing
by: Li, Ming, et al.
Published: (2024)
by: Li, Ming, et al.
Published: (2024)
How Fast Can Graph Computations Go on Fine-grained Parallel Architectures
by: Wang, Yuqing, et al.
Published: (2025)
by: Wang, Yuqing, et al.
Published: (2025)
UniFormer: Unified and Efficient Transformer for Reasoning Across General and Custom Computing
by: Ran, Zhuoheng, et al.
Published: (2025)
by: Ran, Zhuoheng, et al.
Published: (2025)
Kitsune: Enabling Dataflow Execution on GPUs
by: Davies, Michael, et al.
Published: (2025)
by: Davies, Michael, et al.
Published: (2025)
RapidOMS: FPGA-based Open Modification Spectral Library Searching with HD Computing
by: Pinge, Sumukh, et al.
Published: (2024)
by: Pinge, Sumukh, et al.
Published: (2024)
FpgaHub: Fpga-centric Hyper-heterogeneous Computing Platform for Big Data Analytics
by: Wang, Zeke, et al.
Published: (2025)
by: Wang, Zeke, et al.
Published: (2025)
CCSS: Hardware-Accelerated RTL Simulation with Fast Combinational Logic Computing and Sequential Logic Synchronization
by: Feng, Weigang, et al.
Published: (2025)
by: Feng, Weigang, et al.
Published: (2025)
PULSAR: Simultaneous Many-Row Activation for Reliable and High-Performance Computing in Off-the-Shelf DRAM Chips
by: Yuksel, Ismail Emir, et al.
Published: (2023)
by: Yuksel, Ismail Emir, et al.
Published: (2023)
Next-generation Probabilistic Computing Hardware with 3D MOSAICs, Illusion Scale-up, and Co-design
by: Srimani, Tathagata, et al.
Published: (2024)
by: Srimani, Tathagata, et al.
Published: (2024)
RevaMp3D: Architecting the Processor Core and Cache Hierarchy for Systems with Monolithically-Integrated Logic and Memory
by: Ghiasi, Nika Mansouri, et al.
Published: (2022)
by: Ghiasi, Nika Mansouri, et al.
Published: (2022)
Conduit: Programmer-Transparent Near-Data Processing Using Multiple Compute-Capable Resources in Solid State Drives
by: Nadig, Rakesh, et al.
Published: (2026)
by: Nadig, Rakesh, et al.
Published: (2026)
Scheduling Techniques of AI Models on Modern Heterogeneous Edge GPU -- A Critical Review
by: Majeed, Ashiyana Abdul, et al.
Published: (2025)
by: Majeed, Ashiyana Abdul, et al.
Published: (2025)
TeraPool-SDR: An 1.89TOPS 1024 RV-Cores 4MiB Shared-L1 Cluster for Next-Generation Open-Source Software-Defined Radios
by: Zhang, Yichao, et al.
Published: (2024)
by: Zhang, Yichao, et al.
Published: (2024)
A Reliable, Time-Predictable Heterogeneous SoC for AI-Enhanced Mixed-Criticality Edge Applications
by: Garofalo, Angelo, et al.
Published: (2025)
by: Garofalo, Angelo, et al.
Published: (2025)
Similar Items
-
Achieving Dependability of AI Execution with Radiation Hardened Processors
by: Taquichiri, Carlos Rafael Tordoya, et al.
Published: (2025) -
Modeling Short-Range Microwave Networks to Scale Superconducting Quantum Computation
by: LaRacuente, Nicholas, et al.
Published: (2022) -
FengHuang: Next-Generation Memory Orchestration for AI Inferencing
by: Li, Jiamin, et al.
Published: (2025) -
Exploring the Efficiency of 3D-Stacked AI Chip Architecture for LLM Inference with Voxel
by: Liu, Yiqi, et al.
Published: (2026) -
SLIM: A Heterogeneous Accelerator for Edge Inference of Sparse Large Language Model via Adaptive Thresholding
by: Xu, Weihong, et al.
Published: (2025)