Media Summary: In this video, I'm giving a slightly longer version of the talk I gave at PPoPP'19. Abstract: Over the past decade, many programming ... Talk given by Prof. Dr. Oliver Stein from the Karlsruhe Institute of Technology (KIT), Germany, in the colloquium of the research ... The Global Software Architecture Summit (GSAS) is a 3-day event that aims to attract and connect software architecture experts ...

Provably And Practically Efficient Granularity - Detailed Analysis & Overview

In this video, I'm giving a slightly longer version of the talk I gave at PPoPP'19. Abstract: Over the past decade, many programming ... Talk given by Prof. Dr. Oliver Stein from the Karlsruhe Institute of Technology (KIT), Germany, in the colloquium of the research ... The Global Software Architecture Summit (GSAS) is a 3-day event that aims to attract and connect software architecture experts ... Analysis of Mixture of Experts (MoE) models' scaling properties introduces a new hyperparameter, For spotlight presentation at MLG Workshop 2020, KDD Abstract: Data collected at very frequent intervals is usually extremely ... Link to full livestream - START YOUR BI JOURNEY! - RECOMMENDED ...

Neural networks with sub-microsecond inference latency are required by many critical applications. Targeting such applications ...

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Provably and Practically Efficient Granularity Control
The granularity concept in mixed-integer optimization
Understanding the differences between modularity and granularity | by Mark Richards | #GSAS22
06 Understanding Granularity
Efficient Rendering of Heterogeneous Poly Disperse Granular Media
Scaling Laws for Fine-Grained Mixture of Experts
Granularity Moves GDP
MLG2020: Adaptive Granularity in Time Evolving Graphs as Tensors
ACM ICMR 2026 Reflective Cross-Granularity Grounding with Preference Optimization
What is Data Granularity? | BI For Beginners
HGQ: High Granularity Quantization for Real time Neural Networks and LUT Based Inference (Chang Su)
FineQuant: Unlocking Efficiency with Fine-Grained Weight-Only Quantization for LLMs
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Provably and Practically Efficient Granularity Control

Provably and Practically Efficient Granularity Control

In this video, I'm giving a slightly longer version of the talk I gave at PPoPP'19. Abstract: Over the past decade, many programming ...

The granularity concept in mixed-integer optimization

The granularity concept in mixed-integer optimization

Talk given by Prof. Dr. Oliver Stein from the Karlsruhe Institute of Technology (KIT), Germany, in the colloquium of the research ...

Understanding the differences between modularity and granularity | by Mark Richards | #GSAS22

Understanding the differences between modularity and granularity | by Mark Richards | #GSAS22

The Global Software Architecture Summit (GSAS) is a 3-day event that aims to attract and connect software architecture experts ...

06 Understanding Granularity

06 Understanding Granularity

06 Understanding Granularity

Efficient Rendering of Heterogeneous Poly Disperse Granular Media

Efficient Rendering of Heterogeneous Poly Disperse Granular Media

We address the challenge of

Scaling Laws for Fine-Grained Mixture of Experts

Scaling Laws for Fine-Grained Mixture of Experts

Analysis of Mixture of Experts (MoE) models' scaling properties introduces a new hyperparameter,

Granularity Moves GDP

Granularity Moves GDP

DOI: 10.3982/ECTA8769.

MLG2020: Adaptive Granularity in Time Evolving Graphs as Tensors

MLG2020: Adaptive Granularity in Time Evolving Graphs as Tensors

For spotlight presentation at MLG Workshop 2020, KDD Abstract: Data collected at very frequent intervals is usually extremely ...

ACM ICMR 2026 Reflective Cross-Granularity Grounding with Preference Optimization

ACM ICMR 2026 Reflective Cross-Granularity Grounding with Preference Optimization

Reflective Cross-

What is Data Granularity? | BI For Beginners

What is Data Granularity? | BI For Beginners

Link to full livestream - https://youtu.be/uXJXhA-DcrU START YOUR BI JOURNEY! - https://learnbi.online RECOMMENDED ...

HGQ: High Granularity Quantization for Real time Neural Networks and LUT Based Inference (Chang Su)

HGQ: High Granularity Quantization for Real time Neural Networks and LUT Based Inference (Chang Su)

Neural networks with sub-microsecond inference latency are required by many critical applications. Targeting such applications ...

FineQuant: Unlocking Efficiency with Fine-Grained Weight-Only Quantization for LLMs

FineQuant: Unlocking Efficiency with Fine-Grained Weight-Only Quantization for LLMs

The paper proposes an

[POPL'22] Provably Correct, Asymptotically Efficient, Higher-Order Reverse-Mode Automatic

[POPL'22] Provably Correct, Asymptotically Efficient, Higher-Order Reverse-Mode Automatic

Provably