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HPDC 2025 Digest

Sun, 20 Jul 2025 00:00:00 +0000

10 papers selected.

Parameterized Algorithms for Non-uniform All-to-all

Ke Fan, Jens Domke, Seydou Ba, Sidharth Kumar

TL;DR — Introduces parameterized algorithms that adapt non-uniform all-to-all collective communication to heterogeneous network topologies, reducing message contention and improving throughput.

Why notable — Non-uniform all-to-all is a performance bottleneck in many HPC applications; topology-aware parameterization directly benefits MPI implementations on dragonfly and fat-tree networks at scale.

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DPU-KV: On the Benefits of DPU Offloading for In-Memory Key-Value Stores at the Edge

Arjun Kashyap, Yuke Li 0003, Xiaoyi Lu 0001

ATC 2025 Digest

Wed, 09 Jul 2025 00:00:00 +0000

13 papers selected.

ASTERINAS: A Linux ABI-Compatible, Rust-Based Framekernel OS with a Small and Sound TCB

Yuke Peng, Hongliang Tian, Junyang Zhang, Ruihan Li et al.

TL;DR — A production-grade OS kernel written in Rust that exposes a full Linux ABI while confining unsafe code to a small, formally-audited framekernel core.

Why notable — ASTERINAS demonstrates that Linux compatibility and memory-safety guarantees are not mutually exclusive — unsafe Rust is isolated to under 5 kloc of framework code, giving systems operators a credible path toward a safer Linux-compatible kernel without sacrificing application portability.

MobiSys 2025 Digest

Mon, 23 Jun 2025 00:00:00 +0000

12 papers selected.

Hopter: a Safe, Robust, and Responsive Embedded Operating System

Zhiyao Ma, Guojun Chen, Zhuo Chen 0011, Lin Zhong 0001

TL;DR — Hopter is a new embedded OS that enforces memory safety and real-time responsiveness through a Rust-based task model with cooperative and preemptive scheduling co-designed from the ground up.

Why notable — Building a ground-up safe embedded OS is a long-standing challenge; Hopter addresses it without sacrificing the determinism that IoT and robotics workloads demand, offering a credible alternative to unsafe C-based RTOSes.

NSDI 2025 Digest

Mon, 28 Apr 2025 00:00:00 +0000

13 papers selected.

PRED: Performance-oriented Random Early Detection for Consistently Stable Performance in Datacenters

Xinle Du, Tong Li 0014, Guangmeng Zhou, Zhuotao Liu et al.

TL;DR — PRED redesigns AQM by making drop probability a direct function of per-flow performance targets rather than queue length, eliminating the instability of classic RED in modern datacenter workloads.

Why notable — RED has been a cornerstone of congestion control for decades; PRED’s performance-centric reformulation challenges a long-held design axiom and demonstrates significantly lower tail latency at scale. It opens the door to intent-driven AQM as a first-class primitive in datacenter switches.

EuroSys 2025 Digest

Sun, 30 Mar 2025 00:00:00 +0000

13 papers selected.

Empowering WebAssembly with Thin Kernel Interfaces

Arjun Ramesh, Tianshu Huang, Ben L. Titzer, Anthony Rowe 0001

TL;DR — A new OS interface design exposes thin, capability-based kernel primitives directly to WebAssembly modules, eliminating the POSIX translation layer.

Why notable — WebAssembly is increasingly used beyond the browser as a portable, sandboxed compute substrate; this work shows that rethinking the system interface from scratch yields significantly lower overhead and better safety properties than layering Wasm on top of POSIX.

OSDI 2024 Digest

Wed, 10 Jul 2024 00:00:00 +0000

11 papers selected.

DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving

Yinmin Zhong, Shengyu Liu, Junda Chen, Jianbo Hu et al.

TL;DR — Separates the compute-heavy prefill phase from the memory-bound decoding phase onto different GPU pools, eliminating head-of-line blocking and significantly improving LLM serving throughput.

Why notable — Became one of the most influential LLM systems papers of 2024; the prefill–decode disaggregation insight is now widely adopted in production inference stacks (vLLM, SGLang, etc.).