Scalable Graph Parallel Inference Algorithms

Media Summary: Speaker: Davide Cologni, Ca' Foscari University of Venice Wednesday, June 17th, 2026 ... Episode Notes: Sid Sheth, founder and CEO of d-matrix, discusses the ... Speaker: Lukas Gianinazzi Conference: ACM Symposium on

Scalable Graph Parallel Inference Algorithms - Detailed Analysis & Overview

Speaker: Davide Cologni, Ca' Foscari University of Venice Wednesday, June 17th, 2026 ... Episode Notes: Sid Sheth, founder and CEO of d-matrix, discusses the ... Speaker: Lukas Gianinazzi Conference: ACM Symposium on Part 2 of 5 in the “5 Essential LLM Optimization Techiniques” series. Link to the 5 techiniques roadmap: ... Many problems in real-world applications involve predicting several random variables which are statistically related. A structured ... Hey everyone, In this video, I showcase how LLM

Speaker: Tal Ben-Nun Conference: IPDPS'18 Abstract: Connected component identification is a fundamental problem in Richard Peng (Georgia Institute of Technology) Guy Blelloch (Carnegie Mellon University)

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Scalable Graph-Parallel Inference Algorithms and Systems

Parallel Batch-Dynamic Graph Algorithms

Fast, Parallel, and Scalable Differential Graph Compression

Inference at Scale:Breaking the Memory Wall

Parallel Planar Subgraph Isomorphism and Vertex Connectivity

LLM Inference Optimization #2: Tensor, Data & Expert Parallelism (TP, DP, EP, MoE)

Parallel Inference and Learning with Deep Structured Distributions

Inference Is the Bottleneck Now: How to Architect LLM Serving in 2026 (vLLM, GPUs, Decentralized)

Optimizing Parallel Graph Connectivity Computation via Subgraph Sampling

Scalable graph algorithms in Rust (and Python)

Scalable Algorithmic Primitives for Data Science

[POPL'22] Static Prediction of Parallel Computation Graphs

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Scalable Graph-Parallel Inference Algorithms and Systems

Scalable Graph-Parallel Inference Algorithms and Systems

Joseph Gonzalez, UC Berkeley

Parallel Batch-Dynamic Graph Algorithms

Parallel Batch-Dynamic Graph Algorithms

Julian Shun (MIT) https://simons.berkeley.edu/talks/julian-shun-mit-2023-09-22 Dynamic

Fast, Parallel, and Scalable Differential Graph Compression

Fast, Parallel, and Scalable Differential Graph Compression

Speaker: Davide Cologni, Ca' Foscari University of Venice Wednesday, June 17th, 2026 ...

Inference at Scale:Breaking the Memory Wall

Inference at Scale:Breaking the Memory Wall

Episode Notes: https://thedataexchange.media/sid-sheth-d-matrix/ Sid Sheth, founder and CEO of d-matrix, discusses the ...

Parallel Planar Subgraph Isomorphism and Vertex Connectivity

Parallel Planar Subgraph Isomorphism and Vertex Connectivity

Speaker: Lukas Gianinazzi Conference: ACM Symposium on

LLM Inference Optimization #2: Tensor, Data & Expert Parallelism (TP, DP, EP, MoE)

LLM Inference Optimization #2: Tensor, Data & Expert Parallelism (TP, DP, EP, MoE)

Part 2 of 5 in the “5 Essential LLM Optimization Techiniques” series. Link to the 5 techiniques roadmap: ...

Parallel Inference and Learning with Deep Structured Distributions

Parallel Inference and Learning with Deep Structured Distributions

Many problems in real-world applications involve predicting several random variables which are statistically related. A structured ...

Inference Is the Bottleneck Now: How to Architect LLM Serving in 2026 (vLLM, GPUs, Decentralized)

Inference Is the Bottleneck Now: How to Architect LLM Serving in 2026 (vLLM, GPUs, Decentralized)

Hey everyone, In this video, I showcase how LLM

Optimizing Parallel Graph Connectivity Computation via Subgraph Sampling

Optimizing Parallel Graph Connectivity Computation via Subgraph Sampling

Speaker: Tal Ben-Nun Conference: IPDPS'18 Abstract: Connected component identification is a fundamental problem in

Scalable graph algorithms in Rust (and Python)

Scalable graph algorithms in Rust (and Python)

Unofficial FOSDEM 2023 Streamdumps.

Scalable Algorithmic Primitives for Data Science

Scalable Algorithmic Primitives for Data Science

Richard Peng (Georgia Institute of Technology) https://simons.berkeley.edu/talks/

[POPL'22] Static Prediction of Parallel Computation Graphs

[POPL'22] Static Prediction of Parallel Computation Graphs

Static Prediction of

Parallelism in Dynamic Graph Algorithms

Parallelism in Dynamic Graph Algorithms

Guy Blelloch (Carnegie Mellon University) https://simons.berkeley.edu/talks/guy-blelloch-carnegie-mellon-university-2023-09-18 ...