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PipeMax: Enhancing Offline LLM Inference on Commodity GPU Servers ⚡Vectorized Execution

AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving ⚡Low-Latency Systems

Cross-Layer Energy Analysis of Multimodal Training on Grace Hopper Superchips 🖥️GPU Computing

On the Distortion of Partitioning Performance by Random Quantum Circuits 🧠NUMA

A Study on the Performance of Distributed Training of Data-driven CFD Simulations 📐Data-Oriented Design

AAFLOW: Scalable Patterns for Agentic AI Workflows 🌐Distributed Systems

RaMP: Runtime-Aware Megakernel Polymorphism for Mixture-of-Experts ♟️Chess Engines

Assessing Performance and Porting Strategies for Gravitational $N$-Body Simulations on the RISC-V-Based Tenstorrent Wormhole\textsuperscript{\texttrademark} 🔒Network Namespaces

FACT: Compositional Kernel Synthesis with a Three-Stage Agentic Workflow 🧮Compute Optimization

AGoQ: Activation and Gradient Quantization for Memory-Efficient Distributed Training of LLMs 📉Embeddings Optimization

Folding Tensor and Sequence Parallelism for Memory-Efficient Transformer Training & Inference 🧮Compute Optimization

Progressive Semantic Communication for Efficient Edge-Cloud Vision-Language Models ⚡Low-Latency Systems

[1908.10084] Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks 🔢Vector Databases

Exploring Sparse Matrix Multiplication Kernels on the Cerebras CS-3 🧮Compute Optimization

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