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Stochastic Sparse Attention for Memory-Bound Inference ⚡Vectorized Execution

LLM-Emu: Native Runtime Emulation of LLM Inference via Profile-Driven Sampling ⚡Vectorized Execution

Version-controlled databases using Prolly trees 🌲LSM Trees

·4d

Tempus: A Temporally Scalable Resource-Invariant GEMM Streaming Framework for Versal AI Edge ⚡Hardware Acceleration

Position: LLM Serving Needs Mathematical Optimization and Algorithmic Foundations, Not Just Heuristics 📐Algorithms

Computer Science 📐Algorithms

$2B$ or Not $2B$: A Tale of Three Algorithms for Streaming: Covariance Estimation after Welford and Chan-Golub-LeVeque ⚡SIMD Vectorization

MANOJAVAM: A Scalable, Unified FPGA Accelerator for Matrix Multiplication and Singular Value Decomposition in Principal Component Analysis ⚡Hardware Acceleration

From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications ⚡Performance Engineering

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

Finite-Horizon First-Order Rank Profiles of Regular Languages 🌸Bloom Filters

COPUS: Co-adaptive Parallelism and Batch Size Selection in Large Language Model Training ⚡Vectorized Execution

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

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

Efficient, VRAM-Constrained xLM Inference on Clients ⚡SIMD

(POSTER) From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications 📐Data-Oriented Design

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