AI Benchmark Democratization and Carpentry
Fuente:
arXiv
Saved in:
| Main Authors: | von Laszewski, Gregor, Brewer, Wesley, Thiyagalingam, Jeyan, Papay, Juri, Foundjem, Armstrong, Luszczek, Piotr, Emani, Murali, Moore, Shirley V., Reddi, Vijay Janapa, Sinclair, Matthew D., Lobentanzer, Sebastian, Goswami, Sujata, Hawks, Benjamin, Colombo, Marco, Tran, Nhan, Kirkpatrick, Christine R., Alsudais, Abdulkareem, Barrett, Gregg, Li, Tianhao, Morehouse, Kirsten, Venkataraman, Shivaram, Jain, Rutwik, Mathur, Kartik, Lu, Victor, Singh, Tejinder, Mirza, Khojasteh Z., Chen, Kongtao, Kunapuli, Sasidhar, Farrell, Gavin, Umeton, Renato, Fox, Geoffrey C. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Exploring the change in scientific readability following the release of ChatGPT
by: Alsudais, Abdulkareem
Published: (2025)
by: Alsudais, Abdulkareem
Published: (2025)
Text-to-Image Models and Their Representation of People from Different Nationalities Engaging in Activities
by: Alsudais, Abdulkareem
Published: (2025)
by: Alsudais, Abdulkareem
Published: (2025)
An MLCommons Scientific Benchmarks Ontology
by: Hawks, Ben, et al.
Published: (2025)
by: Hawks, Ben, et al.
Published: (2025)
MLCommons Cloud Masking Benchmark with Early Stopping
by: Chennamsetti, Varshitha, et al.
Published: (2023)
by: Chennamsetti, Varshitha, et al.
Published: (2023)
Minos: Systematically Classifying Performance and Power Characteristics of GPU Workloads on HPC Clusters
by: Jain, Rutwik, et al.
Published: (2026)
by: Jain, Rutwik, et al.
Published: (2026)
TinyTorch: Building Machine Learning Systems from First Principles
by: Reddi, Vijay Janapa
Published: (2026)
by: Reddi, Vijay Janapa
Published: (2026)
Entropy-based Active Learning of Graph Neural Network Surrogate Models for Materials Properties
by: Allotey, Johannes, et al.
Published: (2021)
by: Allotey, Johannes, et al.
Published: (2021)
Zero Coordinate Shift: Whetted Automatic Differentiation for Physics-informed Operator Learning
by: Leng, Kuangdai, et al.
Published: (2023)
by: Leng, Kuangdai, et al.
Published: (2023)
PAL: A Variability-Aware Policy for Scheduling ML Workloads in GPU Clusters
by: Jain, Rutwik, et al.
Published: (2024)
by: Jain, Rutwik, et al.
Published: (2024)
Enhancing Energy Efficiency in Scientific Workflows through CFD based PIVAEs
by: Zahir, Ali, et al.
Published: (2026)
by: Zahir, Ali, et al.
Published: (2026)
NL2GDS: LLM-aided interface for Open Source Chip Design
by: Eland, Max, et al.
Published: (2026)
by: Eland, Max, et al.
Published: (2026)
Generative AI Agents in Autonomous Machines: A Safety Perspective
by: Jabbour, Jason, et al.
Published: (2024)
by: Jabbour, Jason, et al.
Published: (2024)
Continuous Symmetry Discovery and Enforcement Using Infinitesimal Generators of Multi-parameter Group Actions
by: Shaw, Ben, et al.
Published: (2025)
by: Shaw, Ben, et al.
Published: (2025)
Deep Learning Evidence for Global Optimality of Gerver's Sofa
by: Leng, Kuangdai, et al.
Published: (2024)
by: Leng, Kuangdai, et al.
Published: (2024)
Differentially Private Wasserstein Barycenters
by: Gu, Anming, et al.
Published: (2025)
by: Gu, Anming, et al.
Published: (2025)
LV-XAttn: Distributed Cross-Attention for Long Visual Inputs in Multimodal Large Language Models
by: Chang, Tzu-Tao, et al.
Published: (2025)
by: Chang, Tzu-Tao, et al.
Published: (2025)
Eva: Cost-Efficient Cloud-Based Cluster Scheduling
by: Chang, Tzu-Tao, et al.
Published: (2025)
by: Chang, Tzu-Tao, et al.
Published: (2025)
Improved Sample Complexity For Diffusion Model Training Without Empirical Risk Minimizer Access
by: Gaur, Mudit, et al.
Published: (2025)
by: Gaur, Mudit, et al.
Published: (2025)
The Magnificent Seven Challenges and Opportunities in Domain-Specific Accelerator Design for Autonomous Systems
by: Neuman, Sabrina M., et al.
Published: (2024)
by: Neuman, Sabrina M., et al.
Published: (2024)
Deep learning insights into cosmological structure formation
by: Lucie-Smith, Luisa, et al.
Published: (2020)
by: Lucie-Smith, Luisa, et al.
Published: (2020)
MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection and Classification
by: Ige, Tosin, et al.
Published: (2025)
by: Ige, Tosin, et al.
Published: (2025)
Scaling Inference-Efficient Language Models
by: Bian, Song, et al.
Published: (2025)
by: Bian, Song, et al.
Published: (2025)
Decoding Speculative Decoding
by: Yan, Minghao, et al.
Published: (2024)
by: Yan, Minghao, et al.
Published: (2024)
PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices
by: Yan, Minghao, et al.
Published: (2023)
by: Yan, Minghao, et al.
Published: (2023)
Quantifying the Expectation-Realisation Gap for Agentic AI Systems
by: Lobentanzer, Sebastian
Published: (2026)
by: Lobentanzer, Sebastian
Published: (2026)
The Agentic Automation Canvas: a structured framework for agentic AI project design
by: Lobentanzer, Sebastian
Published: (2026)
by: Lobentanzer, Sebastian
Published: (2026)
Ein geisteswissenschaftliches Curriculum für The Carpentries
by: Berg, Corinna, et al.
Published: (2025)
by: Berg, Corinna, et al.
Published: (2025)
What Are "The Carpentries" and What Are They Doing in the Library?
by: Pugachev, Sarah
Published: (2019)
by: Pugachev, Sarah
Published: (2019)
FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting
by: Ma, Jeffrey, et al.
Published: (2024)
by: Ma, Jeffrey, et al.
Published: (2024)
From FASTER to F2: Evolving Concurrent Key-Value Store Designs for Large Skewed Workloads
by: Kanellis, Konstantinos, et al.
Published: (2023)
by: Kanellis, Konstantinos, et al.
Published: (2023)
Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs
by: Bian, Song, et al.
Published: (2025)
by: Bian, Song, et al.
Published: (2025)
GraphSnapShot: Caching Local Structure for Fast Graph Learning
by: Liu, Dong, et al.
Published: (2024)
by: Liu, Dong, et al.
Published: (2024)
ARMS: Adaptive and Robust Memory Tiering System
by: Yadalam, Sujay, et al.
Published: (2025)
by: Yadalam, Sujay, et al.
Published: (2025)
TUNA: Tuning Unstable and Noisy Cloud Applications
by: Freischuetz, Johannes, et al.
Published: (2025)
by: Freischuetz, Johannes, et al.
Published: (2025)
SYMPHONY: Improving Memory Management for LLM Inference Workloads
by: Agarwal, Saurabh, et al.
Published: (2024)
by: Agarwal, Saurabh, et al.
Published: (2024)
SocratiQ: A Generative AI-Powered Learning Companion for Personalized Education and Broader Accessibility
by: Jabbour, Jason, et al.
Published: (2025)
by: Jabbour, Jason, et al.
Published: (2025)
Dinaturality for Double Categories
by: Morehouse, Edward
Published: (2026)
by: Morehouse, Edward
Published: (2026)
Compilation of Bibliographies on Southeast Asia and the Middle East and North Africa for Undergraduate Libraries. Final Report.
by: Morehouse, Ward
Published: (1971)
by: Morehouse, Ward
Published: (1971)
Tesserae: Scalable Placement Policies for Deep Learning Workloads
by: Bian, Song, et al.
Published: (2025)
by: Bian, Song, et al.
Published: (2025)
Augmented Carpentry: Computer Vision-assisted Framework for Manual Fabrication
by: Settimi, Andrea, et al.
Published: (2025)
by: Settimi, Andrea, et al.
Published: (2025)
Similar Items
-
Exploring the change in scientific readability following the release of ChatGPT
by: Alsudais, Abdulkareem
Published: (2025) -
Text-to-Image Models and Their Representation of People from Different Nationalities Engaging in Activities
by: Alsudais, Abdulkareem
Published: (2025) -
An MLCommons Scientific Benchmarks Ontology
by: Hawks, Ben, et al.
Published: (2025) -
MLCommons Cloud Masking Benchmark with Early Stopping
by: Chennamsetti, Varshitha, et al.
Published: (2023) -
Minos: Systematically Classifying Performance and Power Characteristics of GPU Workloads on HPC Clusters
by: Jain, Rutwik, et al.
Published: (2026)