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Vista previa	Fecha de publicación	Fecha de Creación	Título
	14-may-2024	-	Fedstellar: a platform for decentralized federated learning
	23-abr-2024	-	NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator
	25-mar-2024	-	POAS: a framework for exploiting accelerator level parallelism in heterogeneous environments
	1-mar-2024	-	Code Detection for Hardware Acceleration Using Large Language Models
	mar-2024	-	Effective Context-Sensitive Memory Dependence Prediction
	mar-2024	-	Scalability Limitations of Processing-in-Memory using RealSystem Evaluations
	11-feb-2024	17-ene-2023	Expanding the deep-learning model to diagnosis LVNC: limitations and trade-offs
	2024	-	Wrong-Path-Aware Entangling Instruction Prefetcher
	22-dic-2023	-	AXI4MLIR: User-Driven automatic host code generation for custom AXI-Based accelerators
	18-dic-2023	-	Exploring Instruction Fusion Opportunities in General Purpose Processors
	12-dic-2023	30-oct-2023	Improving a Deep Learning Model to Accurately Diagnose LVNC
	dic-2023	-	Behavioral fingerprinting to detect ransomware in resource-constrained devices
	dic-2023	-	VAASI: Crafting valid and abnormal adversarial samples for anomaly detection systems in industrial scenarios
	30-oct-2023	-	Architectural Support for Optimizing Huge Page Selection Within the OS
	21-oct-2023	-	Boustrophedonic Frames: Quasi-Optimal L2 Caching for Textures in GPUs
	oct-2023	-	Rebasing Microarchitectural Research with Industry Traces
	8-sep-2023	-	STIFT: A Spatio-Temporal Integrated Folding Tree for Efficient Reductions in Flexible DNN Accelerators
	sep-2023	-	SDN-based automated rekey of IPsec security associations : design and practical validations
	30-may-2023	-	On the representativeness and stability of a set of EFMs
	abr-2023	-	SkiQL: A Unified Schema Query Language