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🚀 Performance Engineering
profiling, latency, throughput, benchmarking, optimization
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187472
posts in
12.5
ms
vnmoorthy/pavo-bench
: A 50K-turn voice pipeline benchmark and an 85K-param meta-controller that cuts P95 latency 10.3% and energy 71% vs fixed cloud.
TMLR
2026.
⚙️
ML Infra
github.com
·
2d
·
Hacker News
Your
AM5
board has a hidden
BIOS
setting for even better DDR5 performance, and no, it's not EXPO
🗄️
Database Internals
xda-developers.com
·
4d
Bun
’s Zig fork got 4x faster
compilation
times
🛠️
Developer Tooling
ziggit.dev
·
3d
New
Techniques
for Communication-Efficient Secure Comparison
Protocols
🕸️
Distributed Systems
eprint.iacr.org
·
6d
RaMP: Runtime-Aware
Megakernel
Polymorphism
for Mixture-of-Experts
🧠
LLMs
arxiv.org
·
23h
Balance
Relational
Purity
and Speed in High Frequency Systems
🗄️
Database Internals
tigerdata.com
·
6d
Shaun
Thomas' PG
Phriday
- The Scaling Ceiling: When one Postgres instance tries to be everything
📊
BigQuery
pgedge.com
·
6d
·
r/PostgreSQL
Lightelligence
: developing photonic solutions that will deliver
exponential
increases in computing speed
📐
System Design
lightelligence.ai
·
5d
Benchmarking
Complex Multimodal Document Processing
Pipelines
: A Unified Evaluation Framework for Enterprise AI
🧠
LLMs
arxiv.org
·
23h
A Systematic Evaluation of Single-Cell Batch Integration Metrics and
sBEE
: A Robust New
Metric
🔄
Data Pipelines
biorxiv.org
·
5d
Intel VP claims up to 30% of CPU performance is
untapped
by modern games — software optimization is critical to unlocking full potential of hybrid
CPUs
☕
JVM
tomshardware.com
·
5d
Intel says software optimization can
hide
up to 30% gaming
CPU
performance
☕
JVM
videocardz.com
·
6d
Quantum Art, a quantum computing startup focused on enhancing computational throughput using its unique "
multicore
" architecture, extends its Series A to $
140M
...
📐
System Design
techmeme.com
·
3d
An
Empirical
Study of
Speculative
Decoding on Software Engineering Tasks
🧠
LLMs
arxiv.org
·
23h
From $200 to $30: Five
Layers
of LLM Cost Optimization
🧠
LLMs
blog.dwornikowski.com
·
6d
·
Hacker News
COPUS
: Co-adaptive
Parallelism
and Batch Size Selection in Large Language Model Training
🧠
LLMs
arxiv.org
·
23h
DUAL-BLADE: Dual-Path NVMe-Direct
KV-Cache
Offloading
for Edge LLM Inference
🧠
LLMs
arxiv.org
·
23h
NeuralEmu
: in
situ
Measurement-Driven, ML-based, High-Fidelity 5G Network Emulation
🔭
Observability
arxiv.org
·
23h
AMMA
: A
Multi-Chiplet
Memory-Centric Architecture for Low-Latency 1M Context Attention Serving
🧠
LLMs
arxiv.org
·
23h
RAG-Enhanced Kernel-Based
Heuristic
Synthesis (
RKHS
): A Structured Methodology Using Large Language Models for Hardware Design
🗂️
RAG Systems
arxiv.org
·
23h
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