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Earlier sources: Hardware
Hardware is the physical foundation of computing: chips, sensors, devices, networks, and the processes that manufacture them. Follow semiconductor research, compute architectures, and engineering developments alongside their software and energy connections.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗529 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- OpenAlex · Published · First archived
Understanding Accelerator Compilers via Performance Profiling ↗
Accelerator design languages (ADLs), high-level languages that compile to hardware units, help domain experts quickly design efficient application-specific hardware. ADL compilers optimize datapaths and convert software-like control flow constructs into control paths. Such compilers are necessarily complex and often unpredictable: they must bridge the wide semantic gap between high-level semantics and cycle-level schedules, and they typically rely on advanced heuristics to optimize circuits. The resulting performance can be difficult to control, requiring guesswork to find and resolve performa…
- OpenAlex · Published · First archived
Equivalence Checking of ML GPU Kernels ↗
With the rapid progress of deep learning and large language models (LLMs), companies spend enormous sums executing GPU kernels. These kernels have become prime targets for aggressive optimization. Recent efforts increasingly leverage LLMs to generate GPU kernels, but make no formal guarantees about the generated kernels. We present the first equivalence checker for GPU kernels and use it to formally verify the correctness of machine learning (ML) kernels optimized by hand, by LLM, and by compiler. We show that our equivalence checker is sound and, for a well-defined class of GPU kernels which…
- GitHub · Repository created · First archived
virajrungta/pcb-claude-plugin ↗
Claude Code plugin: from a circuit idea to a manufacturable KiCad PCB
- Hacker News · Posted on Hacker News · First archived
Automating Wi-Fi setup testing on the ESP32 ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Agentic GPU Programming for MLSys ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Compute is always easy to implement ↗
Hacker News discussion.
- arXiv · Published · First archived
GPU-Accelerated Path-Dependent Marginal Information Gain for Autonomous Exploration ↗
Autonomous exploration demands that robots continuously evaluate candidate viewpoints based on their expected information gain and execution cost. Sampling-based planners estimate this gain by volumetric raycasting and, due to its computational cost, evaluate candidates under an assumption of mutual independence, ignoring the overlap between viewpoints along the same path. This work presents a GPU-accelerated method for computing path-dependent marginal information gain, where instead of storing and merging the observed unknown voxels along each candidate path, previous observations are repres…
- Hacker News · Posted on Hacker News · First archived
CHOMPI portable sampler instrument is now open-source (hardware and software) ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
OLAP on GPU ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Glacex: GPU-Rendered UI library built from scratch in Rust ↗
Hacker News discussion.
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Hardware
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.