Digests on Publish Assistant

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.

IPDPS 2025 Digest

Mon, 19 May 2025 00:00:00 +0000

12 papers selected.

Enhancing OmpSs-2 Suspendable Tasks by Combining Operating System and User-Level Threads with C++ Coroutines

Arnau Cinca, Aleix Roca, Kevin Sala, Raúl Peñacoba Veigas et al.

TL;DR — Extends the OmpSs-2 task-based runtime with C++ coroutines to implement suspendable tasks that can yield while blocked on I/O or communication without stalling the OS thread.

Why notable — Suspendable tasks are a key missing primitive for overlapping computation and communication in task-graph runtimes; the hybrid OS/user-level thread design avoids the overhead of full context switches while remaining portable, with broad implications for OpenMP-style programming on modern heterogeneous nodes.

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.

FGCS 2025 Digest

Wed, 01 Jan 2025 00:00:00 +0000

12 papers selected.

Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing

Franck Cappello, Mario C. Acosta, Emmanuel Agullo, Hartwig Anzt et al.

TL;DR — A joint JLESC survey covering error-bounded lossy compressors (SZ, ZFP, MGARD) across simulation, AI, and in-situ analytics use cases, with benchmarks on real scientific datasets at extreme scale.

Why notable — The most comprehensive cross-site evaluation of scientific data compression to date, providing actionable guidance on compressor selection for different numerical kernels and accuracy requirements.

IC 2025 Digest

Wed, 01 Jan 2025 00:00:00 +0000

10 papers selected.

Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum

Ella Peltonen, Suzan Bayhan, David Bermbach, Sebastian Buschjäger et al.

TL;DR — A multi-author position paper calling for carbon-aware design principles across the cloud-to-edge computing continuum, surveying energy measurement, workload scheduling, and hardware lifecycle challenges.

Why notable — Establishes a community research agenda for sustainable computing infrastructure at a time when datacenter and edge energy consumption is under increasing regulatory and societal scrutiny.

JPDC 2025 Digest

Wed, 01 Jan 2025 00:00:00 +0000

12 papers selected.

Throughput of Byzantine Broadcast

Ruomu Hou, Haifeng Yu, Prateek Saxena

TL;DR — Establishes tight throughput bounds for Byzantine broadcast protocols and constructs algorithms that saturate those bounds, separating throughput from latency in the fault-tolerant broadcast landscape.

Why notable — Provides the first rigorous throughput characterization of Byzantine broadcast, a fundamental primitive whose capacity limits were previously unquantified.

How to reduce the number of steps for (multi-valued validated) Byzantine agreement?

Baohan Huang, Haibin Zhang, Chao Liu 0039, Shengli Liu 0001 et al.

Middleware 2025 Digest

Wed, 01 Jan 2025 00:00:00 +0000

12 papers selected.

Recipe: Hardware-Accelerated Replication Protocols: Rethinking Crash Fault Tolerance Protocols for Untrusted Cloud Environments

Dimitra Giantsidi, Emmanouil Giortamis, Julian Pritzi, Maurice Bailleu et al.

TL;DR — Redesigns crash fault-tolerance protocols using hardware acceleration (TEEs/SmartNICs) to deliver replication with strong guarantees in untrusted cloud environments.

Efficient Performance Guarantees for Function-as-a-Service with Cloud Allocators

Hai Duc Nguyen 0005, Andrew A. Chien

TL;DR — Introduces cloud-allocator abstractions that provide formal performance guarantees for serverless functions, addressing the unpredictability of shared FaaS infrastructure.

OSDI 2025 Digest

Wed, 01 Jan 2025 00:00:00 +0000

13 papers selected.

Basilisk: Using Provenance Invariants to Automate Proofs of Undecidable Protocols

Tony Nuda Zhang, Keshav Singh, Tej Chajed, Manos Kapritsos et al.

TL;DR — Automates the construction of correctness proofs for distributed protocols that were previously considered undecidable, advancing the state of the art in verified systems.

Mako: Speculative Distributed Transactions with Geo-Replication

Weihai Shen, Yang Cui, Siddhartha Sen 0001, Sebastian Angel et al.

TL;DR — Combines speculative execution with geo-replication to deliver low-latency distributed transactions without sacrificing consistency, addressing a fundamental tension in wide-area systems.

SC 2025 Digest

Wed, 01 Jan 2025 00:00:00 +0000

15 papers selected.

Cosmological Hydrodynamics at Exascale: A Trillion-Particle Leap in Capability

Nicholas Frontiere, J. D. Emberson, Michael Buehlmann, Esteban M. Rangel et al.

TL;DR — Delivers the first trillion-particle cosmological hydrodynamics simulation on exascale hardware, demonstrating sustained petaflop-scale performance on a flagship scientific application.

Ab-initio Quantum Transport with the GW Approximation, 42, 240 Atoms, and Sustained Exascale Performance

Nicolas Vetsch, Alexander Maeder, Vincent Maillou, Anders Winka et al.

TL;DR — Achieves sustained exascale performance for first-principles quantum transport at 42,240 atoms, establishing a new scale record for the GW many-body perturbation method.

SEC 2025 Digest

Wed, 01 Jan 2025 00:00:00 +0000

12 papers selected.

lm-Meter: Unveiling Runtime Inference Latency for On-Device Language Models

Haoxin Wang 0003

TL;DR — Provides the first detailed runtime profiling framework for on-device LLM inference, revealing key latency bottlenecks across diverse edge hardware configurations.

SLED: A Speculative LLM Decoding Framework for Efficient Edge Serving

Xiangchen Li

TL;DR — Adapts speculative decoding to edge serving constraints, reducing LLM token generation latency while respecting the tight memory and compute budgets of edge nodes.

SoCC 2025 Digest

Wed, 01 Jan 2025 00:00:00 +0000

13 papers selected.

From Bottleneck to Breakthrough: Optimizing Scheduling for Hyperscale Containerized Clusters

Bing Li, Yuquan Ren, Xinyi Song, Zhilei Liu et al.

TL;DR — Documents production-scale scheduling improvements at a hyperscale cloud provider, demonstrating how targeted optimizations reduce scheduling tail latency and increase cluster utilization in real containerized workloads.

CPU-Limits kill Performance: Time to rethink Resource Control

Chirag C. Shetty, Sarthak Chakraborty, Hubertus Franke, Larisa Shwartz et al.

TL;DR — Challenges the conventional use of CPU cgroup limits in cloud environments, showing through production evidence that CFS bandwidth throttling degrades application QoS and proposing a rethink of resource control abstractions.

SOSP 2025 Digest

Wed, 01 Jan 2025 00:00:00 +0000

14 papers selected.

LithOS: An Operating System for Efficient Machine Learning on GPUs

Patrick H. Coppock, Brian Zhang, Eliot H. Solomon, Vasilis Kypriotis et al.

TL;DR — Designs a dedicated OS for GPU ML workloads, rethinking scheduling and resource management at the kernel level for accelerator-centric computing.

CHERIoT RTOS: An OS for Fine-Grained Memory-Safe Compartments on Low-Cost Embedded Devices

Saar Amar, Tony Chen, David Chisnall, Nathaniel Wesley Filardo et al.

TC 2025 Digest

Wed, 01 Jan 2025 00:00:00 +0000

12 papers selected.

RV-CURE: A RISC-V Capability Architecture for Full Memory Safety

Yonghae Kim, Anurag Kar, Jaewon Lee, Jaekyu Lee et al.

TL;DR — Extends the RISC-V ISA with hardware capabilities to enforce full memory safety—including bounds checking and pointer provenance—across the entire software stack.

Why notable — Demonstrates that capability-based memory safety can be integrated into an open ISA at low cost, with implications for deploying safe-by-default embedded and server systems.

TCC 2025 Digest

Wed, 01 Jan 2025 00:00:00 +0000

12 papers selected.

DRKC: Deep Reinforcement Learning Enhanced Microservice Scheduling on Kubernetes Clusters in Cloud-Edge Environment

Jian Jiang, Qianmu Li, Pengchuan Wang, Yunhuai Liu

TL;DR — DRKC uses deep reinforcement learning to schedule microservices across Kubernetes clusters spanning cloud and edge nodes, optimizing latency and resource utilization.

Why notable — One of the few papers to tackle DRL-based microservice placement at the Kubernetes level in a real cloud-edge topology, making it directly actionable for practitioners.

TOCS 2025 Digest

Wed, 01 Jan 2025 00:00:00 +0000

10 papers selected.

Whole-system Persistence Made Efficient with Tree-structured Checkpointing on Microkernel

Mingkai Dong, Fangnuo Wu, Gequan Mo, Haibo Chen

TL;DR — A microkernel-based whole-system persistence scheme uses tree-structured incremental checkpointing to achieve low-overhead, crash-consistent snapshots of the entire OS state.

Why notable — Whole-system persistence is a foundational building block for reliable systems; this paper shows it can be done efficiently within a microkernel architecture.

XpuTEE: A High-Performance and Practical Heterogeneous Trusted Execution Environment for GPUs

Shulin Fan, Zhichao Hua, Yubin Xia, Haibo Chen

TPDS 2025 Digest

Wed, 01 Jan 2025 00:00:00 +0000

12 papers selected.

HARMONIC: Uncertainty-Aware Multi-Objective Optimization for Energy-Efficient HPC Resource Management

Kyrian Adimora, Hongyang Sun 0001

TL;DR — HARMONIC applies uncertainty-aware multi-objective optimization to jointly minimize energy consumption and maximize performance for HPC resource allocation.

Why notable — It directly addresses the growing demand for energy-proportional HPC scheduling with principled probabilistic models, making it relevant to both system designers and green-computing researchers.

MIST: Towards MPI Instant Startup and Termination on Tianhe HPC Systems

Yiqin Dai, Ruibo Wang, Yong Dong, Min Xie et al.

Middleware 2024 Digest

Mon, 02 Dec 2024 00:00:00 +0000

11 papers selected.

Chasing Lightspeed Consensus: Fast Wide-Area Byzantine Replication with Mercury

Christian Berger 0006, Lívio Rodrigues, Hans P. Reiser, Vinicius Vielmo Cogo et al.

TL;DR — Mercury is a wide-area Byzantine fault-tolerant replication protocol that minimises latency by exploiting geographic locality and pipelining to approach the theoretical lightspeed bound.

Why notable — Achieving near-lightspeed latency in Byzantine replication across wide-area networks has been a long-standing open challenge; Mercury’s design demonstrates it is practically attainable. The result raises the bar for what production BFT middleware can deliver in geo-distributed deployments.

SOSP 2024 Digest

Tue, 05 Nov 2024 00:00:00 +0000

13 papers selected.

Verus: A Practical Foundation for Systems Verification

Andrea Lattuada 0001, Travis Hance, Jay Bosamiya, Matthias Brun 0002 et al.

TL;DR — Verus is a Rust-based verification framework that makes formal proofs of low-level systems code tractable at scale, covering memory safety, functional correctness, and concurrency.

Why notable — Formal verification of real systems code has long been impractical; Verus closes the usability gap by integrating SMT-based proofs directly into a systems programming language, making it the most broadly applicable verification tool for the OS community to date.

SoCC 2024 Digest

Fri, 01 Nov 2024 00:00:00 +0000

12 papers selected.

Queue Management for SLO-Oriented Large Language Model Serving

Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu et al.

TL;DR — A queue management framework that enforces latency SLOs for LLM serving by dynamically routing and prioritizing requests across heterogeneous inference capacity.

Why notable — As LLM deployments move into production clouds, meeting strict time-to-first-token and total latency SLOs becomes critical; this work directly addresses that gap with a practical, deployable solution. It is one of the first papers to treat LLM serving as a cloud SLO-management problem rather than a pure model-optimization problem.

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.).

CCGrid 2024 Digest

Mon, 06 May 2024 00:00:00 +0000

10 papers selected.

Fair, Efficient Multi-Resource Scheduling for Stateless Serverless Functions with Anubis

Amit Samanta 0001, Ryan Stutsman

TL;DR — Anubis introduces a fair, multi-resource scheduler for stateless serverless functions that achieves efficiency without sacrificing isolation between tenants.

Why notable — Fairness in serverless resource allocation is an open problem as functions compete for heterogeneous resources (CPU, memory, I/O); Anubis provides a concrete, deployable answer. The work directly addresses a gap in production FaaS platforms where existing schedulers optimize for throughput but ignore per-tenant equity.

ATC 2024 Digest

Mon, 01 Jan 2024 00:00:00 +0000

12 papers selected.

FetchBPF: Customizable Prefetching Policies in Linux with eBPF

Xuechun Cao, Shaurya Patel, Soo-Yee Lim, Xueyuan Han et al.

TL;DR — Extends eBPF into the page-fault / prefetch path, giving user-space programs a safe, low-overhead hook to install custom hardware-prefetch policies without kernel modifications.

Fast (Trapless) Kernel Probes Everywhere

Jinghao Jia, Michael V. Le, Salman Ahmed 0001, Dan Williams 0001 et al.

TL;DR — Eliminates the trap-based overhead of kprobes by using binary rewriting to instrument kernel functions at near-zero cost, enabling always-on production tracing.

EuroSys 2024 Digest

Mon, 01 Jan 2024 00:00:00 +0000

13 papers selected.

Pronghorn: Effective Checkpoint Orchestration for Serverless Hot-Starts

Sumer Kohli, Shreyas Kharbanda, Rodrigo Bruno, João Carreira et al.

TL;DR — Demonstrates how carefully orchestrated checkpointing can eliminate cold-start latency in serverless runtimes, achieving near-instant hot-starts with negligible overhead.

Serialization/Deserialization-free State Transfer in Serverless Workflows

Fangming Lu, Xingda Wei, Zhuobin Huang, Rong Chen 0001 et al.

TL;DR — Eliminates the dominant serialization cost in serverless function chaining by enabling direct in-memory state passing, yielding large end-to-end latency reductions.

FGCS 2024 Digest

Mon, 01 Jan 2024 00:00:00 +0000

12 papers selected.

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions

Yuri Alexeev, Maximilian Amsler, Marco Antonio Barroca, Sanzio Bassini et al.

TL;DR — A comprehensive roadmap from IBM, national labs, and universities identifying key algorithmic, software, and hardware challenges for using quantum processors alongside classical HPC to advance materials science simulations.

Why notable — Essential reading for any researcher planning quantum-classical hybrid workflows, covering the full stack from error mitigation to application mapping at scale.

HPDC 2024 Digest

Mon, 01 Jan 2024 00:00:00 +0000

12 papers selected.

Efficient all-to-all Collective Communication Schedules for Direct-connect Topologies

Prithwish Basu, Liangyu Zhao, Jason Fantl, Siddharth Pal et al.

TL;DR — Derives near-optimal all-to-all collective communication schedules for direct-connect HPC topologies, directly improving bandwidth utilization in large-scale distributed systems.

Reinforcement Learning-based Adaptive Mitigation of Uncorrected DRAM Errors in the Field

Isaac Boixaderas, Sergi Moré, Javier Bartolome, David Vicente et al.

TL;DR — Applies reinforcement learning to dynamically mitigate uncorrected DRAM errors at production HPC scale, improving system reliability without sacrificing performance.

IC 2024 Digest

Mon, 01 Jan 2024 00:00:00 +0000

10 papers selected.

Revisiting Edge AI: Opportunities and Challenges

Tobias Meuser, Lauri Lovén, Monowar Bhuyan, Shishir G. Patil et al.

TL;DR — A multi-author position paper that revisits the state of edge AI, cataloguing deployment barriers and open research problems across hardware, networking, and software layers.

Why notable — Brings together 19 leading researchers to synthesize the field’s most pressing edge AI challenges, making it an authoritative reference for practitioners and researchers planning edge deployments.

IPDPS 2024 Digest

Mon, 01 Jan 2024 00:00:00 +0000

14 papers selected.

Low-Depth Spatial Tree Algorithms

Yves Baumann, Tal Ben-Nun, Maciej Besta, Lukas Gianinazzi et al.

TL;DR — Introduces parallel spatial-tree algorithms with provably low depth, advancing the theory of work-efficient parallel data structures for geometric workloads.

Alternative Basis Matrix Multiplication is Fast and Stable

Oded Schwartz, Sivan Toledo, Noa Vaknin, Gal Wiernik

TL;DR — Demonstrates that alternative-basis matrix multiplication achieves both practical speed and numerical stability, challenging the conventional trade-off between the two.

JPDC 2024 Digest

Mon, 01 Jan 2024 00:00:00 +0000

12 papers selected.

Read/write fence-free work-stealing with multiplicity

Armando Castañeda, Miguel Piña

TL;DR — Presents a work-stealing deque algorithm that eliminates read/write memory fences while tolerating multiplicity, achieving provably correct concurrent access without costly barriers.

Why notable — Advances the theoretical foundations of lock-free scheduler data structures by decoupling correctness from fence instructions, directly impacting runtime system design.

Reliable communication in dynamic networks with locally bounded byzantine faults

Silvia Bonomi, Giovanni Farina, Sébastien Tixeuil

MobiSys 2024 Digest

Mon, 01 Jan 2024 00:00:00 +0000

13 papers selected.

WAIS: Leveraging WiFi for Resource-Efficient SLAM

Aditya Arun 0002, William Hunter, Roshan Sai Ayyalasomayajula, Dinesh Bharadia

TL;DR — Demonstrates that commodity WiFi signals can replace LiDAR for simultaneous localization and mapping, dramatically cutting the resource cost of robot/AR navigation.

UWB-Fi: Pushing Wi-Fi towards Ultra-wideband for Fine-Granularity Sensing

Xin Li 0070, Hongbo Wang, Zhe Chen 0015, Zhiping Jiang et al.

TL;DR — Extends standard Wi-Fi to UWB-class sensing resolution without hardware changes, enabling centimeter-level gesture and motion detection on existing infrastructure.

NSDI 2024 Digest

Mon, 01 Jan 2024 00:00:00 +0000

13 papers selected.

MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs

Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang et al.

TL;DR — ByteDance’s full production account of training LLMs at 10,000+ GPUs, with novel co-design of the network stack, fault tolerance, and collective communication to sustain near-linear scaling.

Harmony: A Congestion-free Datacenter Architecture

Saksham Agarwal, Qizhe Cai, Rachit Agarwal 0001, David B. Shmoys et al.

SC 2024 Digest

Mon, 01 Jan 2024 00:00:00 +0000

15 papers selected.

Pushing the Limit of Quantum Mechanical Simulation to the Raman Spectra of a Biological System with 100 Million Atoms

Honghui Shang, Ying Liu 0055, Zhikun Wu, Zhenchuan Chen et al.

TL;DR — Gordon Bell-class result scaling ab initio Raman spectroscopy to 100 million atoms, pushing quantum-chemical simulation well beyond prior limits.

Breaking the Molecular Dynamics Timescale Barrier Using a Wafer-Scale System

Kylee Santos, Stan G. Moore, Tomas Oppelstrup, Amirali Sharifian et al.

SEC 2024 Digest

Mon, 01 Jan 2024 00:00:00 +0000

12 papers selected.

EdgeCore: Resource Dependency-Aware Multi-Tenant Orchestration for Mobile Edge Clouds

Amran Haroon

TL;DR — Introduces a multi-tenant edge orchestration system that captures resource dependencies across co-located workloads, demonstrating significant improvements in task completion latency and resource utilization.

Righteous: Automatic Right-Sizing for Complex Edge Deployments

Aniruddha Rakshit

TL;DR — Presents an automated right-sizing framework for edge deployments that dynamically adjusts resource allocations to match workload demands without manual intervention.

TC 2024 Digest

Mon, 01 Jan 2024 00:00:00 +0000

12 papers selected.

Achieving DRAM-Like PCM by Trading Off Capacity for Latency

Irina Alam, Puneet Gupta 0001

TL;DR — Proposes a capacity-for-latency trade-off in Phase Change Memory to match DRAM-level access latency without specialized process changes.

Why notable — Offers a practical path to deploying PCM as a DRAM alternative, directly addressing the latency gap that has blocked PCM adoption in main-memory systems.

A High-Performance, Energy-Efficient Modular DMA Engine Architecture

Thomas Benz, Michael Rogenmoser, Paul Scheffler, Samuel Riedel et al.

TCC 2024 Digest

Mon, 01 Jan 2024 00:00:00 +0000

12 papers selected.

FaaSCtrl: A Comprehensive-Latency Controller for Serverless Platforms

Abhisek Panda, Smruti R. Sarangi

TL;DR — FaaSCtrl is a feedback-control system for serverless platforms that jointly manages cold-start, queuing, and execution latency to meet end-to-end SLOs.

Why notable — One of the few serverless controllers that addresses all three latency components together, providing a principled alternative to ad-hoc autoscaling heuristics.

FUSIONIZE++: Improving Serverless Application Performance Using Dynamic Task Inlining and Infrastructure Optimization

Trever Schirmer, Joel Scheuner, Tobias Pfandzelter, David Bermbach

TOCS 2024 Digest

Mon, 01 Jan 2024 00:00:00 +0000

8 papers selected.

PMAlloc: A Holistic Approach to Improving Persistent Memory Allocation

Zheng Dang, Shuibing He, Xuechen Zhang, Peiyi Hong et al.

TL;DR — PMAlloc redesigns persistent memory allocation end-to-end, co-optimizing the allocator’s data structures, concurrency, and crash consistency to dramatically reduce allocation overhead.

Why notable — Persistent memory is still poorly understood at the allocator level; this paper offers a rare holistic treatment that will inform future PM software stacks.

TPDS 2024 Digest

Mon, 01 Jan 2024 00:00:00 +0000

12 papers selected.

Runtime Performance Anomaly Diagnosis in Production HPC Systems Using Active Learning

Burak Aksar, Efe Sencan, Benjamin Schwaller, Omar Aaziz et al.

TL;DR — An active-learning framework automatically diagnoses runtime performance anomalies in production HPC systems by querying targeted job profiles to minimize labeling effort.

Why notable — It bridges ML-based anomaly detection and operational HPC monitoring, demonstrating scalable root-cause identification on real supercomputer workloads.

AutoDDL: Automatic Distributed Deep Learning With Near-Optimal Bandwidth Cost

Jinfan Chen, Shigang Li 0002, Ran Guo, Jinhui Yuan et al.