An unusual hardware architecture: APA (Associative Processing Array)
yosefk.com·4h
⚡Homebrew CPUs
Comparison of Generic Container Libraries for C
github.com·5h·
Discuss: Hacker News
💧Liquid Types
GenHuzz: An Efficient Generative Hardware Fuzzer
usenix.org·12h
🧪RISC-V Fuzzing
Arm neural technology to adds AI acceleration to Arm GPUs, enables “Neural Super Sampling” for lower bandwidth/higher FPS
cnx-software.com·11h
🎯Emulator Accuracy
Function-level Basic Block Analysis
binary.ninja·19h
⚙️RISC-V Microcode
Exploiting Krylov Subspace Methods for Real-Time Sparse Linear Systems in High-Dimensional Signal Processing
dev.to·2d·
Discuss: DEV
⚡SIMD Vectorization
Design Review: LattePanda Mu NAS Carrier
hackaday.com·1d
⚡Circuit Archaeology
Intel's fabled Itanium refuses to die, but the end is probably near — deprecation of IA-64 support is back on the chopping block in GCC version 16
tomshardware.com·10h
⚡Homebrew CPUs
Changing 4GB to 5GB
forums.anandtech.com·13h
💾Memory Mapping
Qt for MCUs 2.11 LTS Released
qt.io·8h
🍎XNU Internals
Samsung's biggest rival and Sandisk have come together to standardize High Bandwidth Flash memory - which could mean better AI performance for everyone
techradar.com·23h
🖥️Hardware Architecture
Vive la Difference: Practical Diff Testing of Stateful Applications
muratbuffalo.blogspot.com·3h·
Discuss: www.blogger.com
✅Archive Fixity
Linux Preps For New "SoC Power Slider" With Upcoming Panther Lake
phoronix.com·26m
🛡️RISC-V Security
Arm juices mobile GPUs with neural tech for better graphics
theregister.com·1d
📊RISC-V Vectors
60% faster substring search with SIMD in Zig
aarol.dev·3d·
Discuss: Lobsters, Hacker News, r/Zig, r/programming
🚀SIMD Text Processing
Bootlin toolchains 2025.08 released
bootlin.com·3d
🧲RISC-V Preservation
Linear scan register allocation on SSA
bernsteinbear.com·19h·
Discuss: Lobsters, Hacker News
🚀Compiler Optimizations
The Imminent Deprecation of memory_order:consume
people.kernel.org·1d·
Discuss: Hacker News
🔩Systems Programming
Hyper-V Research
r0keb.github.io·4d
👑RISC-V Privilege
How Amazon scaled Rufus by building multi-node inference using AWS Trainium chips and vLLM
aws.amazon.com·2h
⚡Incremental Computation