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SIMD
⏩ SIMD
Specific
Vectorization, Parallel Processing, Performance, CPU Instructions
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170
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ms
Advanced
Vector
Extensions 512 Acceleration of LSH and LEA-GCM
⚡
CPU Architecture
eprint.iacr.org
·
6d
6 days ago
Actions for Advanced Vector Extensions 512 Acceleration of LSH and LEA-GCM
Hypothesis Testing and Estimation with Standardized Standard Errors
🔤
Type Theory
replicationindex.com
·
1d
1 day ago
Actions for Hypothesis Testing and Estimation with Standardized Standard Errors
Fast Exact Nearest-Neighbor Learning for High-Frequency Financial Time Series
⚡
CPU Architecture
Content type:
Academic
arxiv.org
·
19h
19 hours ago
Actions for Fast Exact Nearest-Neighbor Learning for High-Frequency Financial Time Series
test: strengthen mcp
loopback
transport coverage · openclaw/openclaw@d86069d
🦀
Rust
Content type:
Code
github.com
·
1d
1 day ago
Actions for test: strengthen mcp loopback transport coverage · openclaw/openclaw@d86069d
Why my
SIMD
code was silently running as scalar, and what debugging it taught me about production environment assumptions
⚡
CPU Architecture
Content type:
Blog
coloneltoad.substack.com
·
6d
6 days ago
·
Substack
Actions for Why my SIMD code was silently running as scalar, and what debugging it taught me about production environment assumptions
Who is the fastest?
🔨
Compilers
ziggit.dev
·
2h
2 hours ago
Actions for Who is the fastest?
The copy_if Speedup That Wasn't About copy_if, Or
AVX-512
🔨
Compilers
hftuniversity.com
·
6d
6 days ago
·
Substack
Actions for The copy_if Speedup That Wasn't About copy_if, Or AVX-512
Cisco SASE with Meraki: Get in the Fast Lane to SASE
🚀
Performance
Content type:
Blog
blogs.cisco.com
·
1d
1 day ago
Actions for Cisco SASE with Meraki: Get in the Fast Lane to SASE
Less-relevant results
OpenCV 5 release - New DNN engine with enhanced ONNX and LLM/VLM support, Intel,
Arm
, and RISC-V hardware optimizations - CNX Software
⚡
CPU Architecture
Content type:
News
cnx-software.com
·
20h
20 hours ago
Actions for OpenCV 5 release - New DNN engine with enhanced ONNX and LLM/VLM support, Intel, Arm, and RISC-V hardware optimizations - CNX Software
Undersea warfare is moving faster than AUKUS
⚙️
Systems Programming
pearlsandirritations.com
·
2d
2 days ago
Actions for Undersea warfare is moving faster than AUKUS
Gemini Streaming in Rust + Tauri — Real-Time AI Responses Without the Jank
🦀
Rust
hiyokomtp.lemonsqueezy.com
·
3d
3 days ago
·
DEV
Actions for Gemini Streaming in Rust + Tauri — Real-Time AI Responses Without the Jank
CRASH TIME: 2026-06-09 12:04:39Skyrim
SSE
v1.6.1170CrashLoggerSSE v1-16-0-0
⚡
CPU Architecture
pastebin.com
·
1d
1 day ago
·
r/skyrimmods
Actions for CRASH TIME: 2026-06-09 12:04:39Skyrim SSE v1.6.1170CrashLoggerSSE v1-16-0-0
Canonical Experimenting With x86-64-v3 Packages For Ubuntu 26.10
⚡
CPU Architecture
phoronix.com
·
2d
2 days ago
·
Lobsters
,
Hacker News
Actions for Canonical Experimenting With x86-64-v3 Packages For Ubuntu 26.10
ESP32-S31
⚙️
Systems Programming
Content type:
Discussion
news.ycombinator.com
·
6d
6 days ago
·
Hacker News
Actions for ESP32-S31
The Tao of Datastar Guide
🗄️
Database Internals
data-star.dev
·
7h
7 hours ago
·
Lobsters
,
Hacker News
Actions for The Tao of Datastar Guide
How much do amd64 microarchitecture
levels
help in Go?
⚡
CPU Architecture
Content type:
Blog
lemire.me
·
4d
4 days ago
·
Lobsters
,
Hacker News
,
r/golang
Actions for How much do amd64 microarchitecture levels help in Go?
MCP, made portable.
🔨
Compilers
mcporter.sh
·
14h
14 hours ago
Actions for MCP, made portable.
VideoLAN Announces dav2d as an Open-Source and Super Fast AV2 Decoder
⚡
CPU Architecture
9to5linux.com
·
2d
2 days ago
Actions for VideoLAN Announces dav2d as an Open-Source and Super Fast AV2 Decoder
Zero-Click HFP/A2DP Takeover via L2CAP Session Preemption
🚀
Performance
paste.rs
·
5d
5 days ago
·
r/C_Programming
,
r/golang
,
r/netsec
Actions for Zero-Click HFP/A2DP Takeover via L2CAP Session Preemption
Training an LLM in Swift,
Part
2: macOS built-in frameworks
🔨
Compilers
Content type:
Blog
cocoawithlove.com
·
2d
2 days ago
·
Hacker News
Actions for Training an LLM in Swift, Part 2: macOS built-in frameworks
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