⚡ Cache Optimization - hello · Scour

🔧LLVM IR Optimization hiraditya.github.io·

Loop Unrolling in the ML Era

Discussed on Hacker News

🏗️CPU Cache Topology arxiv.org·

SAC: Disaggregated KV Cache System for Sparse Attention LLMs with CXL

📏Picolibc eservers.uk·

The Millisecond Advantage: How NVMe Bare Metal Servers Boost UK E-Commerce Conversions

🔢Reference Counting reflex.dev·

Making ast.walk 220x Faster

Discussed on Hacker News

📋Redpanda Schema Registry redpanda.com·

Adaptive write request scheduling in Redpanda's Cloud Topics

🔌CXL arxiv.org·

NEURON-Fabric: CXL-Side Low-Bit Gradient Aggregation for Distributed Training

🔨Compiler Design arxiv.org·

A Spatio-Temporal Expert Prefetching Framework for Efficient MoE-based LLM Inference

📊Profiling Tools Silicon Opera·

Your Program Isn't Slow Where You Think It Is

📊Algorithms arxiv.org·

Caching for Dollars, Not Hits: An Exact Offline Reference for Cloud-Egress Caching and the Crossover That Decides When It Pays

🔲Loop Tiling arxiv.org·

SSD: Spatially Speculative Decoding Accelerates Autoregressive Image Generation

⛓️Blockchain arxiv.org·

Fractional Verkle Trees: A Hypertree Decomposition and Verified Proof Serialization Architecture for High-Performance Blockchain State Accumulators

👁️Computer Vision arxiv.org·

Rethinking the Pointer Loss in Table Structure Recognition: Geometry-Aware Pointer Loss for Spatial Locality

🔲Loop Tiling arxiv.org·

InstantForget: Update-Free Backdoor Unlearning with Inference-Time Feature Reset

🔲Loop Tiling arxiv.org·

Neural Bayesian Anomaly Mitigation: A Robust Loss that Doubles as an Unsupervised Contamination Classifier

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