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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Integer-Quantized Hierarchical Matrices with Adaptive Bit Allocation
We present an adaptive bitwidth allocation method for quantizing low-rank factors in hierarchical matrices in order to decrease storage while meeting a given constraint on their reconstruction error.Only Accepted Tokens Count: An Energy Accounting of Speculative Decoding Under Latency Targets
Large language model serving is limited by facility power.Analysis of Triggered Packet Streams: Stochastic Bounds on System Time under General Triggering Delays
Many emerging communication systems increasingly involve devices that transmit packets in multiple causally dependent stages as part of an internal workflow, rather than waiting for receiver feedback.The Endgame of FSDP Communication: Layout-Aware Collectives on Copy Engines, RDMA, and NVSwitch
Fully Sharded Data Parallelism (FSDP2) maintains parameters and gradients as per-parameter tensors, whereas its collective path operates on flat, rank-major buffers.Thermal-Headroom Routing for Efficient Robot Perception in Extreme Heat
Adaptive robot perception systems must balance detector accuracy, inference latency, and energy consumption, particularly when high ambient temperatures cause processors to thermally throttle.Self-Supervised Pretraining for PHM: What Transfers, What Does Not, and What Federating It Costs
Self-supervised pretraining has produced capable time-series foundation models, but its value for Prognostics and Health Management (PHM) has not been measured under leakage-controlled conditions.One Megakernel is Not Enough: Predicting Where to Cut for Streaming Inference
We address a fundamental question: How far should kernel fusion extend and which boundaries are worth preserving?IOSage: Detecting HPC I/O Bottleneck Patterns to Guide LLM Recommendations
HPC applications often leave much of their parallel file system's bandwidth unused, and turning their Darshan logs into concrete I/O fixes still requires a scarce I/O expert.Speculative Decoding for Mixture-of-Experts Models: Expert Bytes, Kernel Bandwidth and the Best Draft Length
Speculative decoding checks several drafted tokens in one verification pass.COPE: Composable Performance Emulation for Mixture-of-Experts Offloading Policies
As LLMs scale, mixture-of-experts (MoE) architectures increase model capacity while keeping per-token computation manageable through sparse expert activation.Procrustes-Bering-Sheaft: Automated Model Discovery and Virtual Crash Tests for Microservices
Procrustes-Bering-Sheaft automates lightweight model discovery and virtual crash tests for microservices.Benchmarking Model Compression Techniques Across Heterogeneous Edge Platforms: A Predictive Maintenance Use Case for Rotating Machinery
To enable Industry 5.0, where autonomous systems are widely adopted and integrated with people to promote sustainable development in industries, it is imperative to adapt complex deep learning…MLIPS: Multi-Layer Indexer Pool Sharing
Sparse attention limits the keys used by each query, but finding those keys can still require a full-prefix scan at every layer.The Token-Energy Law of LLM Decode: Active Bytes and Realized Time Account for Joules per Token
Energy-efficient deployment of large language models requires understanding how model architecture, hardware, and serving settings shape energy per generated token.Reinforcement learning for hardware acceleration and system-level optimization on FPGA and integrated-circuit platforms: A survey
Reinforcement learning (RL) enables adaptive and autonomous decision-making in embedded, edge, and heterogeneous computing systems.Is 2:4 Sparsity Still Worth It? Semi-Structured Sparsity versus Quantization in LLM Inference
NVIDIA tensor cores have supported 2:4 semi-structured sparsity since Ampere, and the pattern composes with quantization.Stop Paying by the Letter: Accelerating Full-Chip RTL Simulation with Host-Side Tokenized Logging
Firmware diagnostic logging (printf) is an essential debug instrument in full-chip SoC design verification, yet it imposes a heavy tax on cycle-accurate RTL simulation: formatting a 30-character…PanoDent-KD: From Generalist Knowledge Distillation to Cross-Dataset Specialist Detection and Embedded Deployment in Panoramic Radiographs
Reliable panoramic-radiograph detection requires consistency across datasets with different class definitions and deployment software.ATEST: Adaptive Resource-Aware Test-Time Scaling for LLM Inference
Test-time scaling (TTS) improves large language model (LLM) reasoning by sampling multiple answers, but fixed sampling budgets ignore both query difficulty and the changing energy cost of inference…FTWeave: Composing Logical Execution, Real-Time Decoding, and Magic-State Supply in Tightly Integrated Quantum-Classical Systems
Fault-tolerant quantum applications depend on both decoded measurement information and a continuing supply of magic states.