📦 Folly - hello · Scour

Towards Multiparty Session Types for Highly-Concurrent and Fault-Tolerant Web Applications 📦Protocol Buffers

arxiv.org·5d

judofyr/spice: Fine-grained parallelism with sub-nanosecond overhead in Zig 🦀Rayon

github.com·21h

UpDown: Efficient Manycore based on Many Threading & Scalable Memory Parallelism 🧠PIM

people.cs.uchicago.edu·13h·Hacker News

Algorithms for Modern Hardware 🔀SIMD Programming

en.algorithmica.org·5d·Hacker News

PipeSC: A Resource-efficient and Pipelined Hardware Accelerator for Sumcheck Protocol ⚙️CPU Microarchitecture

eprint.iacr.org·6d

SMART: When is it Actually Worth Expanding a Speculative Tree? 🌲Splay Trees

arxiv.org·14h

bsommerfeld/pathetic: The Java pathfinder that ended the era of “good enough” 🔀Crossbeam

github.com·10h·Hacker News

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding 🧩mimalloc

arxiv.org·14h

anurag-as/Bonsai: A self-tuning Rust library that transparently switches between spatial index structures at runtime to maintain optimal query performance as your data evolves. 🌱BonsaiDb

github.com·6d·Hacker News

ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency Scenarios ⏰Timely Dataflow

arxiv.org·14h

StreamServe: Adaptive Speculative Flows for Low-Latency Disaggregated LLM Serving ⏰Timely Dataflow

arxiv.org·14h

LaurieWired/tailslayer: Library for reducing tail latency in RAM reads 🔄Hardware Transactional Memory

github.com·6d·Lobsters, Hacker News

NestPipe: Large-Scale Recommendation Training on 1,500+ Accelerators via Nested Pipelining 📊HyperLogLog

arxiv.org·5d

Asynchronous Multiparty Sessions with Mixed Choice 📺Go Channels

arxiv.org·5d

Typify: A Lightweight Usage-driven Static Analyzer for Precise Python Type Inference 🔗Dependent Types

arxiv.org·6d

DIVERSED: Relaxed Speculative Decoding via Dynamic Ensemble Verification 🔮Folly Futures

arxiv.org·4d

$k$-server-bench: Automating Potential Discovery for the $k$-Server Conjecture ⚡X-Fast Tries

arxiv.org·5d

Foundry: Template-Based CUDA Graph Context Materialization for Fast LLM Serving Cold Start 🎴TAO

arxiv.org·5d

CAKE: Cloud Architecture Knowledge Evaluation of Large Language Models 🌳Tree-sitter

arxiv.org·6d

Guiding Symbolic Execution with Static Analysis and LLMs for Vulnerability Discovery 🔍KLEE

arxiv.org·5d

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