In-band SDN scales through border-switch graphs
In-band SDN with multi-controller coordination: how Periplus limits forwarding state using border-switch graphs and scales the network without increasing load
AI accelerators for scientific computing limits
AI accelerators for scientific computing: bridging the precision, memory, and execution gap when migrating HPC workloads to NPUs –>
ThecoreGrid Radar: Three Key Technology Trends of the Week
A weekly roundup of the architecture insights and releases we’ve been reading. Infrastructure 🔹 FSZ: Breaking the Prediction-Throughput Trade-off in GPU Lossy Compression A new approach to lossy GPU compression increases throughput while preserving prediction quality. The work shows how compression can become a tool for optimizing compute infrastructure, rather than simply a way to … Read more
Primitive-level synchronization accelerates PBNR
Primitive-level synchronization in distributed PBNR training: how to eliminate global barriers and accelerate training without sacrificing quality
Mixture-of-Experts acceleration through overlap
Compute-communication overlap in MoE reduces latency through tiled scheduling and signaling. This directly impacts throughput and GPU utilization. Modern Mixture-of-Experts (MoE) systems are limited not by compute, but by communication. In distributed execution, each layer requires two all-to-all operations, and the second—returning results—falls into the critical path. The classical scheme only initiates it after the … Read more
io_uring offloads CPU through asymmetric I/O
Asymmetric io_uring in Seastar: how offloading I/O to dedicated cores affects latency and throughput and where bottlenecks arise
AI Agents and Cloud Guardrails: The Speed Gap
AI agent security in the cloud: why guardrails are lagging behind API speed and how to move to event-driven monitoring instead of lagging billing
Data provenance without over-deletion in AI pipelines
Accurate data provenance at the record and token level bridges the gap in AI unlearning: how to find the forget set without mass data deletion. The problem arises at the moment of consent withdrawal by the author. Unlearning algorithms (e.g., NPO or RMU) expect a ready forget set, but in real pipelines, it does not … Read more
GDPR Edge Security for IoMT Without Compromises
GDPR edge security in IoMT requires shifting control to the network edge. The SEG approach demonstrates how to combine privacy-by-design and low latency without sacrificing efficiency. Remote monitoring systems for elderly patients (IoMT) face three simultaneous constraints. The data is classified as “sensitive” under GDPR and requires strict protection. Sensor-level devices are limited in energy … Read more
Distributed Model Counting without Bottlenecks
Distributed model counting with work-stealing: how gDMC reduces overhead and solves the load balancing problem in #SAT systems