Systems & Networks · Computer Science & AI
Performance
The newest papers in Performance that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
158 papers, from 4 September 2026 to 5 November 2026: 158 arXiv preprints.
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Newest papers
KOSMOS: Self-scheduling Persistent Kernels for Communication-Compute Overlap
Tensor and sequence parallelism (TP+SP) and expert parallelism (EP) put collectives on the critical path of transformer layers.Measured Coupling for Parallel Decoding in Diffusion Language Models
Diffusion language models can write many tokens per step, but must choose which tokens are safe to commit together.When Is One Query per Template Enough? Adapting Learned Cost Models to New Hardware
A learned cost model that predicts query runtimes is trained on measurements from one machine.A Controlled Experimental Evaluation of Configuration and Cache Architecture in LLM Serving Engines
Multi-agent LLM applications repeat most of their prompt tokens across requests, and serving engines reuse the cached state of shared prefixes. vLLM and SGLang reuse it at different granularities…SysPilot: Cross-Library Performance Autotuning via Library Performance Contracts
Modern scientific and machine-learning applications compose many independently developed libraries.Accelerating Long-Context Decoding in Large-Scale Hybrid LLMs Without Retraining
The full-attention layers of large language models (LLMs) make every generated token more expensive than the previous one, slowing models down on long-context tasks.Performance Portability of Out-of-Kernel Optimizations on GPUs: A Molecular Docking Case Study
Achieving performance portability is challenging for irregular scientific applications built as repeated multi-kernel GPU pipelines, because throughput depends on out-of-kernel decisions as much as…FPTR: Feasibility-Preserving Transactional Refinement for Deadline-Constrained Joint Beam and Resource Allocation
Short-interval wireless schedulers must return a complete, feasible beam-and-resource allocation before each execution deadline, and a late or invalid output gives no utility in the current control…NUMA-Torch: Compiler-Driven NUMA-Aware LLM Prefill on Multi-Socket CPUs
For sufficiently large transformer-based Large Language Models (LLMs), whose parameters cannot be retained in on-chip caches, prefill throughput on multi-socket CPUs is often limited by sustainable…GC-MoE: Overlapping Expert-Parallel Token Dispatch with FP8/FP4 Grouped GEMM via CUDA Green Contexts
Under expert parallelism, mixture-of-experts (MoE) layers pay all-to-all token dispatch, grouped GEMMs, and a combine step in every layer.The Unreported Variable:Collector Selectivity in Data Placement Evaluation
A solid-state drive cannot overwrite data in place, so it cleans full blocks by copying out still-valid data, costing speed and lifetime.Warpline: Binary-Level Tracing and Unified Evidence for Agentic GPU Kernel Optimization
LLM agents are becoming GPU kernel engineers, but they still tune kernels without seeing where the time goes.Trustworthiness as a Measurement Structure for Task Conformance in 6G Service Chains
A 6G service crosses a chain of stages from different vendors, and its contract binds class-conditioned guarantees at the terminal interface: in the packet relay chain studied here, a priority class…Software Design Patterns for Latency Measurements with eBPF in SDN Environments
This work proposes, implements, and evaluates a modular architecture based on software design patterns applied to latency measurement in Software-Defined Networks (SDN) using the Extended Berkeley…Characterizing Serverless Workloads: A Large-Scale Analysis of Function-as-a-Service Platforms
Serverless computing is a popular approach to application deployment without having to manage the underlying infrastructure.Easy Multi-Precision Acceleration via Vectorization
High level programming languages and accelerators are powerful enablers for a wide range of applications.Memory-Access Profiling for Early Multicore Interference Awareness in Embedded Systems
Applications executing on different multicore processors may interfere through shared resources.HPC-Bench: A Comprehensive Benchmark for High Performance Computing Codes
Large Language Models (LLMs) have shown strong capabilities in code generation and reasoning, motivating extensive benchmarks for evaluating functional correctness.Local Zero-Shot Latency Prediction for Low-End GPUs
Quantifying execution latency is an important consideration across Machine Learning.The SIMPLE Law for Energy Cost of LLM Inference
Generative AI is billed per token, yet tokens are not equally expensive.