matt_d

10 ms·

361.
GPU Forecasters: Language Models as Selective Surrogates for Kernel Optimization(arxiv.org)
1 points by matt_d 5mo ago|0 comments
362.
Type-Error Ablation and AI Coding Agents(arxiv.org)
1 points by matt_d 5mo ago|0 comments
363.
Session-Aware Agentic Routing: Continuity-Aware Model Selection for Long-Horizon(vllm.ai)
2 points by matt_d 5mo ago|0 comments
364.
Directionality in Low Precision(constantinides.net)
2 points by matt_d 5mo ago|0 comments
365.
O-POPE: High-Frequency Pipelined Outer Product based GEMM acceleration(arxiv.org)
2 points by matt_d 5mo ago|0 comments
366.
VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Agents(research.nvidia.com)
4 points by matt_d 5mo ago|0 comments
367.
Strace-ui, Bonsai_term, and the TUI renaissance(blog.janestreet.com)
158 points by matt_d 5mo ago|80 comments
368.
Why Larger Models Learn More: Capacity, Interference, Rare-Task Retention(arxiv.org)
3 points by matt_d 5mo ago|0 comments
369.
PyTorch's playbook for AI coding, as of May 2026(docs.pytorch.org)
3 points by matt_d 5mo ago|0 comments
370.
When does fragmentation occur in the CUDA caching allocator?(docs.pytorch.org)
15 points by matt_d 5mo ago|1 comments
371.
Evaluating Apple Silicon for Data Processing [pdf](db.in.tum.de)
2 points by matt_d 5mo ago|0 comments
372.
PassNet: Scaling Large Language Models for Graph Compiler Pass Generation(arxiv.org)
2 points by matt_d 5mo ago|0 comments
373.
Do GPUs Need New Tabular File Formats?(arxiv.org)
5 points by matt_d 5mo ago|0 comments
374.
Polyhedral Compilation in MLIR(sajidzubair.substack.com)
2 points by matt_d 5mo ago|0 comments
375.
Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs(arxiv.org)
2 points by matt_d 5mo ago|0 comments
376.
Three Trends from MLSys 2026(modular.com)
3 points by matt_d 5mo ago|0 comments
377.
What are the real problems of continual learning?(infinitefaculty.substack.com)
4 points by matt_d 5mo ago|0 comments
378.
What "Memory Compiler" Actually Means: From Bitcells to GDS Tiling(thecloudlet.github.io)
2 points by matt_d 5mo ago|0 comments
379.
Understanding Inference Scaling for LLMs: Bottlenecks, Trade-Offs, and Perf(arxiv.org)
6 points by matt_d 5mo ago|0 comments
380.
MIT EECS/CSAIL Agentic Coding in Practice Seminar Series(people.csail.mit.edu)
2 points by matt_d 5mo ago|0 comments
381.
The Load-Balance Problem Behind Hybrid Parallelism(hecate0821.github.io)
1 points by matt_d 5mo ago|0 comments
382.
Delayed Tensor Parallelism for Faster Transformer Inference(blog.kog.ai)
2 points by matt_d 5mo ago|0 comments
383.
Continuous Diffusion Models Can Obey Formal Syntax(arxiv.org)
2 points by matt_d 5mo ago|0 comments
384.
HartBreaker: Deterministic Fuzzing of Multi-Hart RISC-V CPUs(comsec.ethz.ch)
2 points by matt_d 5mo ago|0 comments
385.
Tuning LLVM's SLP Vectorizer Cost Model(blog.kaving.me)
10 points by matt_d 5mo ago|0 comments
386.
A Friendly Tour of Substructural, Uniqueness, Ownership, Capabilities and more!(federicobruzzone.github.io)
2 points by matt_d 5mo ago|0 comments
387.
FlashLib: Bringing Flash Magic to Classical Machine Learning Operators(flashml-org.github.io)
1 points by matt_d 5mo ago|0 comments
388.
FML-Bench: A Controlled Study of AI Research Agent Strategies(arxiv.org)
1 points by matt_d 5mo ago|0 comments
389.
Finding deadlocks in CuTe kernels with SPIN(metaworld.me)
2 points by matt_d 5mo ago|0 comments
390.
A Case for Tracing Based DSL Kernel Languages(metaworld.me)
2 points by matt_d 5mo ago|0 comments

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