gpu

Documents about gpu

• GPU accelerated population genetics statistics using pg_gpu#321454bioRxiv / medRxiv
• Towards GPU program verification : instruction-level semantics, tensor core analysis, and bounds check optimization#290271UR Research
• To GPU or Not to GPU: Vector Search in Relational Engines#196470arXiv CS
• GEM: GPU-Variability-Aware Expert to GPU Mapping for MoE Systems#204749arXiv CS
• Evaluating Design Choices for GPU-Accelerated Finite-Difference Time-Domain Simulation on Resource-Constrained Devices#322169DigitalCommons@CalPoly
• Memetic Algorithms and GPU Acceleration for Multi-Attributes Routing Problems#652765HAL (France)
• A Preliminary Study on Simultaneous Coscheduling for Discrete GPU vs. Fused GPU#441744arXiv CS
• GPU-to-Grid: Voltage Regulation via GPU Utilization Control#684023eScholarship
• Comparing YOLO-Based Parking Space Detection Performance Between GPU, Non-GPU, and Raspberry Pi Systems#299793Animo Repository
• GPU Integration into a Software Defined Radio Framework#964199ISUDR
• Accelerating Intra-Node GPU-to-GPU Communication Through Multi-Path Transfers with CUDA Graphs#134524arXiv CS
• GPU-Tile-Sim: A Tile-Centric GPU Simulation Framework for LLM Hardware-Software Co-Design#363219arXiv CS
• DMO-DB: Mitigating the Data Movement Bottlenecks of GPU-Accelerated Relational OLAP#666957S-Space: Seoul National University
• Rotary GPU: Exploring Local Execution Paths for Large Mixture-of-Experts Models Under Limited GPU Memory#238571arXiv CS
• A GPU-accelerated simulation of rapid intensification of a tropical cyclone with observed heating#674736Calhoun
• Xylem: A Comparative Analysis of GPU Dispatch Pipelines for Large-Scale, Procedural Environments#307596DigitalCommons@CalPoly
• CudaMon: An R Package to Monitor NVIDIA GPUs, Showcased by Monitoring a GPU-accelerated Single-cell Analysis Workflow in R#337325Figshare
• Worst-Case Optimal GPU Datalog#124152arXiv CS
• GPU-Accelerated Parallel Stochastic Gradient Descent#203985PhilArchive
• cuBNM: GPU-Accelerated Brain Network Modeling#226013bioRxiv / medRxiv
• Scalable Concurrent Queues for GPU#246513arXiv CS
• VaultxGPU: GPU-Accelerated Blockchain Consensus#271782arXiv CS
• Diamond: Harnessing GPU resources for scientific deep learning#358992RUcore, Rutgers University Community Repository
• FastPair: GPU-Optimized String Decoding#919348arXiv CS
• GPUTopOpt: GPU Topology Optimization in Julia for Large-Scale Structural Design#367024e-cienciaDatos Dataverse OAI Archive
• Measurement-Driven Diagnosis and Mitigation of Host-CPU Co-location Interference in Single-GPU LLM Serving on a Multi-GPU Server#972492arXiv (All)
• Equivalence Checking of ML GPU Kernels#611401arXiv (OAI Expanded)
• Equivalence Checking of ML GPU Kernels#612878arXiv (All)
• Overlapping data transfers with computation on GPU with tiles#955219Koc University Digital Collections
• Bridging the Gap between MAC Optimization and Energy Efficiency in GPU-Powered Edge AI#142495HAL (France)
• Energy Modeling for LLM Inference without Per-Workload Profiling#684066eScholarship
• GPU Acceleration of Sparse Fully Homomorphic Encrypted DNNs#10255arXiv CS
• Incidence Constraints in Hypergraph Partitioning on GPU#18992arXiv CS
• Policy-aware GPU resource allocation for national supercomputing.#25731NCBI PubMed Central
• CCCL: In-GPU Compression-Coupled Collective Communication#120480arXiv CS
• UCCL-Zip: Lossless Compression Supercharged GPU Communication#124033arXiv CS
• Instant GPU Efficiency Visibility at Fleet Scale#216800arXiv CS
• Large-Scale Regularized Matching on GPU Clusters#267631arXiv CS
• Toward a Unified GPU-Aware OpenSHMEM Specification#353034arXiv CS
• Fully Dynamic Rooted Spanning Tree on GPU#394378arXiv CS
• CuLifter: Lifting GPU Binaries to Typed IR#971797arXiv (All)
• Método Lattice Boltzmann em GPU#462160Repositório da UFES
• NCCLbpf: Verified, Composable Policy Execution for GPU Collective Communication#2726arXiv CS
• GATE: GPU-Accelerated Traffic Engineering for the WAN#155215arXiv CS
• Characterization-Guided GPU Fault Resilience in NVIDIA MPS#229468arXiv CS
• On GPU Implementation for Multi-Precision Integer Division#259416arXiv CS
• Tangram: Hiding GPU Heterogeneity for Efficient LLM Parallelization#280157arXiv CS
• The Correctness Illusion in LLM-Generated GPU Kernels#290549arXiv CS
• Don't Predict, Prioritize: Rethinking GPU Reliability Assessment#373359arXiv CS
• Agentic CPU-GPU Scheduling for Heterogeneous AI Workloads#405626arXiv CS