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Showing 526–550 of 2231 papers

TitleStatusHype
NNTile: a machine learning framework capable of training extremely large GPT language models on a single node—0
Characterizing and Optimizing LLM Inference Workloads on CPU-GPU Coupled Architectures—0
BitNet b1.58 2B4T Technical Report—0
MULTI-LF: A Unified Continuous Learning Framework for Real-Time DDoS Detection in Multi-Environment Networks—0
OVERLORD: Ultimate Scaling of DataLoader for Multi-Source Large Foundation Model Training—0
Understanding and Optimizing Multi-Stage AI Inference Pipelines—0
Wavefront Estimation From a Single Measurement: Uniqueness and Algorithms—0
aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis—0
Automatic Detection of Intro and Credits in Video using CLIP and Multihead Attention—0
Towards On-Device Learning and Reconfigurable Hardware Implementation for Encoded Single-Photon Signal Processing—0
MoE-Lens: Towards the Hardware Limit of High-Throughput MoE LLM Serving Under Resource Constraints—0
WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Care—0
PRIMA.CPP: Speeding Up 70B-Scale LLM Inference on Low-Resource Everyday Home ClustersCode0
IAEmu: Learning Galaxy Intrinsic Alignment CorrelationsCode0
Accurate GPU Memory Prediction for Deep Learning Jobs through Dynamic Analysis—0
MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert Parallelism—0
Exploring energy consumption of AI frameworks on a 64-core RV64 Server CPU—0
Accelerating IoV Intrusion Detection: Benchmarking GPU-Accelerated vs CPU-Based ML Libraries—0
SentenceKV: Efficient LLM Inference via Sentence-Level Semantic KV Caching—0
SCRec: A Scalable Computational Storage System with Statistical Sharding and Tensor-train Decomposition for Recommendation Models—0
Solving the Best Subset Selection Problem via Suboptimal AlgorithmsCode0
GPU-centric Communication Schemes for HPC and ML Applications—0
Deep Learning Model Deployment in Multiple Cloud Providers: an Exploratory Study Using Low Computing Power Environments—0
Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion—0
Robust DNN Partitioning and Resource Allocation Under Uncertain Inference Time—0
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