EURO-PAR 2024: 30TH INTERNATIONAL EUROPEAN CONFERENCE ON PARALLEL AND DISTRIBUTED COMPUTING

A
Abbas, Qasim	QClique: Optimizing Performance and Accuracy in Maximum Weighted Clique
Ahmed, Nesreen	OMPGPT: A Generative Pre-trained Transformer Model for OpenMP
Ait Salaht, Farah	Optimizing Service Replication and Placement for IoT Applications in Fog Computing Systems
Alcaraz, Jordi	Efficient Code Region Characterization through Automatic Performance Counters Reduction using Machine Learning Techniques
Alves Barbosa da Silva, Fabricio	A Framework for Automated Parallel Execution of Scientific Multi-Workflow Applications in the Cloud with Work Stealing
Alves de Oliveira, Fábio	Harnessing Data Movement Strategies to Optimize Performance-Energy Efficiency of Oil & Gas Simulations in HPC
Anderson, Daniel	A Fast Wait-Free Solution to Read-Reclaim Races in Reference Counting (Artifact)
Angersbach, Richard	Code Generation for Octree-Based Multigrid Solvers with Fused Higher-Order Interpolation and Communication
Araujo, Guido	Combining Compression and Prefetching to Improve Checkpointing for Inverse Seismic Problems in GPUs
Atoofian, Ehsan	PCTC: Hardware and Software Co-Design for Pruned Capsule Networks on Tensor Cores
B
Baboulin, Marc	Mixed precision randomized low-rank approximation with GPU tensor cores
Badia, Rosa M.	GPU Cache System for COMPSs: A Task-Based Distributed Computing Framework
Bandet, Alexis	Scheduling distributed I/O resources in HPC systems
Bauinger, Christoph	ESIMD GPU implementations of Deep Learning Sparse Matrix Kernels
Beaumont, Olivier	A 1.25(1+ε)-Approximation Algorithm for Scheduling with Rejection Costs Proportional to Processing Times (Artifact)
Bhattacharjee, Arijit	OMPGPT: A Generative Pre-trained Transformer Model for OpenMP
Binder, Walter	MPR: An MPI Framework for Distributed Self-Adaptive Stream Processing
Blomer, Jakob	Parallel Writing of Nested Data in Columnar Formats (Artifact)
Blott, Michaela	Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL
Boddu, Sharon	ALZI: An Improved Parallel Algorithm for Finding Connected Components in Large Graphs
Boehme, David	A Mechanism to Generate Interception Based Tools for HPC Libraries
Boito, Francieli	Scheduling distributed I/O resources in HPC systems
Bombieri, Nicola	GPU-Accelerated BFS for Dynamic Networks
Bouzel, Rémi	A 1.25(1+ε)-Approximation Algorithm for Scheduling with Rejection Costs Proportional to Processing Times (Artifact)
Brunet, Elisabeth	Predicting GPU kernel's performance on upcoming architectures
Busato, Federico	GPU-Accelerated BFS for Dynamic Networks
Byna, Suren	A High-Performance Collective I/O Framework Leveraging Node-Local Persistent Memory
C
Caday, Peter	Deconstructing HPL-MxP benchmark: a numerical perspective
Calderón-Mateos, Alejandro	Fault tolerant in the Expand Ad-Hoc parallel file system (Artifact)
Camarmas-Alonso, Diego	Fault tolerant in the Expand Ad-Hoc parallel file system (Artifact)
Canon, Louis-Claude	Solving the Restricted Assignment Problem to Schedule Multi-Get Requests in Key-Value Stores (Artifact)
Carastan-Santos, Danilo	Light-weight prediction for improving energy consumption in HPC platforms (Artifact)
Carissimi, Alexandre	Harnessing Data Movement Strategies to Optimize Performance-Energy Efficiency of Oil & Gas Simulations in HPC
Carneiro, Tiago	Investigating Portability in Chapel for Tree-based Optimization on GPU-powered Clusters
Carretero, Jesús	Fault tolerant in the Expand Ad-Hoc parallel file system (Artifact)
Castelló, Adrián	Inference with Transformer Encoders on ARM and RISC-V Multicore Processors
Catalan, Sandra	Inference with Transformer Encoders on ARM and RISC-V Multicore Processors
Cesar, Eduardo	Efficient Code Region Characterization through Automatic Performance Counters Reduction using Machine Learning Techniques
Chen, Bin	A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning
Chen, Jiageng	Accelerating Stencil Computation with Fully Homomorphic Encryption Using GPU
Chen, Le	OMPGPT: A Generative Pre-trained Transformer Model for OpenMP
Chen, Pin	Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters
Chen, Yifan	AdapCK: Optimizing I/O for Checkpointing on Large-scale High Performance Computing Systems
Chen, Yuang	Vectorizing Sparse Blocks of Graph Matrices for SpMV
Chen, Zhe	Hurry: Dynamic Collaborative Framework For Low-orbit Mega-Constellation Data Downloading
Cheng, Yuanhu	ImSPU: Implicit Sharing of Computation Resources between Vector and Scalar Processing Units
Chitty-Venkata, Krishna Teja	WActiGrad: Structured Pruning for Efficient Finetuning and Inference of Large Language Models on AI Accelerators
Claver, José M.	Cloud-native GPU-enabled architecture for parallel video encoding
Conejero, Javier	GPU Cache System for COMPSs: A Task-Based Distributed Computing Framework
Costa, Jessé	Combining Compression and Prefetching to Improve Checkpointing for Inverse Seismic Problems in GPUs
Cruz, N. C.	On the use of hybrid computing for accelerating EEG preprocessing
Cui, Yangguang	Improving Generalization and Personalization in Long-Tailed Federated Learning via Classifier Retraining
Cui, Yongquan	Lightweight Byzantine-Robust and Privacy-Preserving Federated Learning
D
Da Costa, Georges	Light-weight prediction for improving energy consumption in HPC platforms (Artifact)
Dai, Tuo	ImageMap: Enabling Efficient Mapping from Image Processing DSL to CGRA
Dang, Haoran	GDL-GNN: Applying GPU Dataloading of Large Datasets for Graph Neural Network Inference
de Wolff, Ivo Gabe	A Fast Wait-Free Solution to Read-Reclaim Races in Reference Counting (Artifact)
Deng, Quan	ImSPU: Implicit Sharing of Computation Resources between Vector and Scalar Processing Units
Diamantopoulos, Georgios	Distributed Simulation for Digital Twins of Large-Scale Real-World DiffServ-Based Networks
Ding, Zhijun	Context-aware Runtime Type Prediction for Heterogeneous Microservices
Donfack, Simplice	Mixed precision randomized low-rank approximation with GPU tensor cores
Du, Jiangsu	Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters
Dugois, Anthony	Solving the Restricted Assignment Problem to Schedule Multi-Get Requests in Key-Value Stores (Artifact)
Dutta, Akash	Efficient Code Region Characterization through Automatic Performance Counters Reduction using Machine Learning Techniques
E
Eedi, Hemalatha	DF* PageRank: Incrementally Expanding Approaches for Updating PageRank on Dynamic Graphs (Artifact)
Elis, Bengisu	A Mechanism to Generate Interception Based Tools for HPC Libraries
Ellis, Marquita	Automated Data Management and Learning-based Scheduling for Ray-based Hybrid HPC-Cloud Systems
Emani, Murali	WActiGrad: Structured Pruning for Efficient Finetuning and Inference of Large Language Models on AI Accelerators
Engan, Kjersti	PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds
Escudero-Sahuquillo, Jesus	Hybrid Congestion Control for BXI-based Interconnection Networks
Eyraud-Dubois, Lionel	A 1.25(1+ε)-Approximation Algorithm for Scheduling with Rejection Costs Proportional to Processing Times (Artifact)
F
Fagnon, Vincent	Makespan Minimization for Scheduling on Heterogeneous Platforms with Precedence Constraints
Fan, Dongrui	GDL-GNN: Applying GPU Dataloading of Large Datasets for Graph Neural Network Inference ADE-HGNN: Accelerating HGNNs through Attention Disparity Exploitation Disttack: Graph Adversarial Attacks Toward Distributed GNN Training
Fan, Xiaokang	VLASPH: Smoothed Particle Hydrodynamics on VLA SIMD Architectures
Feng, Binbin	Context-aware Runtime Type Prediction for Heterogeneous Microservices
Feng, Dan	Asymmetric Coded Distributed Computation for Resilient Prediction Serving Systems
Feng, Guofeng	Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation
Feng, Yixiao	Deadline-driven Enhancements and Response Time Analysis of ROS2 Multi-threaded Executors
Fernandes, Luiz Gustavo	MPR: An MPI Framework for Distributed Self-Adaptive Stream Processing
Filipovič, Jiří	Efficient Code Region Characterization through Automatic Performance Counters Reduction using Machine Learning Techniques
Fiorin, Leandro	MEPAD: A Memory-efficient Parallelized Direct Convolution Algorithm for Deep Neural Networks
G
Gao, Chaochen	Quartet: A Holistic Hybrid Parallel Framework for Training Large Language Models
Gao, Yue	Hurry: Dynamic Collaborative Framework For Low-orbit Mega-Constellation Data Downloading
Garcia, Pedro Javier	Hybrid Congestion Control for BXI-based Interconnection Networks
Garcia Pineda, Miguel	Cloud-native GPU-enabled architecture for parallel video encoding
García-Carballeira, Félix	Fault tolerant in the Expand Ad-Hoc parallel file system (Artifact)
Gavin, Alex	A High-Performance Collective I/O Framework Leveraging Node-Local Persistent Memory
Ge, Zhen	VLASPH: Smoothed Particle Hydrodynamics on VLA SIMD Architectures
Giugno, Rosalba	GPU-Accelerated BFS for Dynamic Networks
Gomez-Lopez, Gabriel	Hybrid Congestion Control for BXI-based Interconnection Networks
Graillat, Stef	Reduced-Precision and Reduced-Exponent Formats for Adaptive-Precision Sparse Matrix-Vector Product
Griebler, Dalvan	MPR: An MPI Framework for Distributed Self-Adaptive Stream Processing
Grosso, Paola	PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds
Guo, Zhuoqiang	Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation
Gutiérrez-Aguado, Juan	Cloud-native GPU-enabled architecture for parallel video encoding
H
Hafezan, Mohammad	PCTC: Hardware and Software Co-Design for Pruned Capsule Networks on Tensor Cores
Hahnfeld, Jonas	Parallel Writing of Nested Data in Columnar Formats (Artifact)
Han, Dengke	ADE-HGNN: Accelerating HGNNs through Attention Disparity Exploitation
Han, Jizhong	Quartet: A Holistic Hybrid Parallel Framework for Training Large Language Models
Han, Yoonsang	Accelerated Block-Sparsity-Aware Matrix Reordering for Leveraging Tensor Cores in Sparse Matrix-Multivector Multiplication (Artifact)
Harutyunyan Gevorgyan, Suren	Efficient Code Region Characterization through Automatic Performance Counters Reduction using Machine Learning Techniques
Hasabnis, Niranjan	OMPGPT: A Generative Pre-trained Transformer Model for OpenMP
He, Xiaowei	ImSPU: Implicit Sharing of Computation Resources between Vector and Scalar Processing Units
He, Zhezhi	Watt: A Write-optimized RRAM-based Accelerator for Attention
Hegeman, Steef	Compact Parallel Hash Tables on the GPU (Artifact)
Helbecque, Guillaume	Investigating Portability in Chapel for Tree-based Optimization on GPU-powered Clusters
Heldens, Stijn	Bringing auto-tuning to HIP: Analysis of tuning impact and difficulty on AMD and Nvidia GPUs (Artifact)
Henry, Greg	Deconstructing HPL-MxP benchmark: a numerical perspective
Hiraga, Kohei	PEANUTS: A Persistent Memory-Based Network Unilateral Transfer System for Enhanced MPI-IO Data Transfer (Artifact)
Hou, Rui	FakeGuard: A Novel Accelerator Architecture for Deepfake Detection Networks
Howland, Sylvia	WActiGrad: Structured Pruning for Efficient Finetuning and Inference of Large Language Models on AI Accelerators
Hu, Songlin	Quartet: A Holistic Hybrid Parallel Framework for Training Large Language Models
Hu, Yuchong	Asymmetric Coded Distributed Computation for Resilient Prediction Serving Systems
Hua, Zhengchang	Distributed Simulation for Digital Twins of Large-Scale Real-World DiffServ-Based Networks
Huang, Chun	VLASPH: Smoothed Particle Hydrodynamics on VLA SIMD Architectures
Huang, Dan	Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters
Huang, Jun	FLUK: Protecting Federated Learning against Malicious Clients for Internet of Vehicles
Huang, Kejie	A Folded Computation-in-Memory Accelerator for Fast Polynomial Multiplication in BIKE
Huang, Libo	ImSPU: Implicit Sharing of Computation Resources between Vector and Scalar Processing Units
Huang, Tsung-Wei	TaroRTL: Accelerating RTL Simulation using Coroutine-based Heterogeneous Task Graph Scheduling
Huang, Zhuoyao	Distributed Simulation for Digital Twins of Large-Scale Real-World DiffServ-Based Networks
I
Igual, Francisco D.	Inference with Transformer Encoders on ARM and RISC-V Multicore Processors
Izri, Nora	Optimizing Service Replication and Placement for IoT Applications in Fog Computing Systems
J
Jahadi, Reza	PCTC: Hardware and Software Co-Design for Pruned Capsule Networks on Tensor Cores
Jannesari, Ali	Resource-Aware Heterogeneous Federated Learning with Specialized Local Models Efficient Code Region Characterization through Automatic Performance Counters Reduction using Machine Learning Techniques OMPGPT: A Generative Pre-trained Transformer Model for OpenMP
Jia, Jie	AdapCK: Optimizing I/O for Checkpointing on Large-scale High Performance Computing Systems
Jia, Weile	Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation
Jiang, Jiazhi	Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters
Jiang, Li	Watt: A Write-optimized RRAM-based Accelerator for Attention
Jiang, Xuyan	Node Bundle Scheduling: An Ultra-Low Latency Traffic Scheduling Algorithm for TAS-based Time-Sensitive Networks
Jin, Cheqing	Towards High-Performance Transactions via Hierarchical Blockchain Sharding
Jin, Zhou	Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation
Jézéquel, Fabienne	Reduced-Precision and Reduced-Exponent Formats for Adaptive-Precision Sparse Matrix-Vector Product
K
Kanwal, Neel	PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds
Kao, Odej	LogRCA: Log-based Root Cause Analysis for Distributed Services
Katti Sastry, Varuni	WActiGrad: Structured Pruning for Efficient Finetuning and Inference of Large Language Models on AI Accelerators
Kaya, Oguz	Mixed precision randomized low-rank approximation with GPU tensor cores
Kayraklioglu, Engin	Investigating Portability in Chapel for Tree-based Optimization on GPU-powered Clusters
Keller, Gabriele K.	A Fast Wait-Free Solution to Read-Reclaim Races in Reference Counting (Artifact)
Kenter, Tobias	Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL
Khan, Maleq	ALZI: An Improved Parallel Algorithm for Finding Connected Components in Large Graphs
Kindratenko, Volodymyr	Automated Data Management and Learning-based Scheduling for Ray-based Hybrid HPC-Cloud Systems
Kokkila-Schumacher, Sara	Automated Data Management and Learning-based Scheduling for Ray-based Hybrid HPC-Cloud Systems
Kollegger, Thorsten	Parallel Writing of Nested Data in Columnar Formats (Artifact)
Koohi Esfahani, Mohsen	QClique: Optimizing Performance and Accuracy in Maximum Weighted Clique
Korkmaz, Esragul	A 1.25(1+ε)-Approximation Algorithm for Scheduling with Rejection Costs Proportional to Processing Times (Artifact)
Kothapalli, Kishore	DF* PageRank: Incrementally Expanding Approaches for Updating PageRank on Dynamic Graphs (Artifact)
Kuckuk, Sebastian	Code Generation for Octree-Based Multigrid Solvers with Fused Higher-Order Interpolation and Communication
Köstler, Harald	Code Generation for Octree-Based Multigrid Solvers with Fused Higher-Order Interpolation and Communication
L
Laarman, Alfons	Compact Parallel Hash Tables on the GPU (Artifact)
Lagadec, Pierre-Axel	Hybrid Congestion Control for BXI-based Interconnection Networks
Lan, Haocheng	CSIMD: Cross-Search Algorithm with Improved Multi-Dimensional Dichotomy for Micro-batch-based Pipeline Parallel Training in DNN
Lee, Eunji	Accelerated Block-Sparsity-Aware Matrix Reordering for Leveraging Tensor Cores in Sparse Matrix-Multivector Multiplication (Artifact)
Li, Huawei	Athena: Add More Intelligence to RMT-based Network Data Plane with Low-bit Quantization
Li, Liujia	EKRM: Efficient Key-Value Retrieval Method to Reduce Data Lookup Overhead for Redis
Li, Mingzhen	Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation
Li, Pei	Accelerating Stencil Computation with Fully Homomorphic Encryption Using GPU
Li, Ruixuan	Quartet: A Holistic Hybrid Parallel Framework for Training Large Language Models
Li, Xiaowei	Efficient RNIC Cache Side-channel Attack Detection through DPU-driven Architecture Athena: Add More Intelligence to RMT-based Network Data Plane with Low-bit Quantization
Li, Yuhang	Improving Generalization and Personalization in Long-Tailed Federated Learning via Classifier Retraining
Liang, Xiaoyao	Watt: A Write-optimized RRAM-based Accelerator for Attention
Liao, Jianxin	FLUK: Protecting Federated Learning against Malicious Clients for Internet of Vehicles
Liao, Yunkun	Efficient RNIC Cache Side-channel Attack Detection through DPU-driven Architecture Athena: Add More Intelligence to RMT-based Network Data Plane with Low-bit Quantization
Lin, Dian-Lun	TaroRTL: Accelerating RTL Simulation using Coroutine-based Heterogeneous Task Graph Scheduling
Lin, Fang	AdapCK: Optimizing I/O for Checkpointing on Large-scale High Performance Computing Systems
Lin, Hanyue	Athena: Add More Intelligence to RMT-based Network Data Plane with Low-bit Quantization
Lin, Quanwei	Hurry: Dynamic Collaborative Framework For Low-orbit Mega-Constellation Data Downloading
Lin, Yibing	Context-aware Runtime Type Prediction for Heterogeneous Microservices
Lingas, Andrzej	Boolean Matrix Multiplication for Highly Clustered Data on the Congested Clique
Liu, Dazheng	Pipe-AGCM: A Fine-grain Pipelining Scheme for Optimizing the Parallel Atmospheric General Circulation Model
Liu, Deyin	Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters
Liu, Fangxin	Watt: A Write-optimized RRAM-based Accelerator for Attention
Liu, Rulin	Node Bundle Scheduling: An Ultra-Low Latency Traffic Scheduling Algorithm for TAS-based Time-Sensitive Networks
Liu, Tao	FedGG: Leveraging Generative Adversarial Networks and Gradient Smoothing for Privacy Protection in Federated Learning
Liu, Tingkai	Automated Data Management and Learning-based Scheduling for Ray-based Hybrid HPC-Cloud Systems
Liu, Tong	Improving Generalization and Personalization in Long-Tailed Federated Learning via Classifier Retraining
Liu, Wenhao	Hurry: Dynamic Collaborative Framework For Low-orbit Mega-Constellation Data Downloading
Liu, Wenjuan	Pipe-AGCM: A Fine-grain Pipelining Scheme for Optimizing the Parallel Atmospheric General Circulation Model
Liu, Xin	Disttack: Graph Adversarial Attacks Toward Distributed GNN Training
Liu, Yanke	AdapCK: Optimizing I/O for Checkpointing on Large-scale High Performance Computing Systems
Liu, Yi	AdapCK: Optimizing I/O for Checkpointing on Large-scale High Performance Computing Systems
Liu, Yuxue	Asymmetric Coded Distributed Computation for Resilient Prediction Serving Systems
Liu, Zhibing	Quartet: A Holistic Hybrid Parallel Framework for Training Large Language Models
Long, Sifan	VLASPH: Smoothed Particle Hydrodynamics on VLA SIMD Architectures
Lorenzon, Arthur	Harnessing Data Movement Strategies to Optimize Performance-Energy Efficiency of Oil & Gas Simulations in HPC
Lu, Rongwei	A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning
Lu, Songfeng	VeriChroma: Ownership Verification for Federated Models via RGB Filters Lightweight Byzantine-Robust and Privacy-Preserving Federated Learning
Lu, Weijia	Improving Generalization and Personalization in Long-Tailed Federated Learning via Classifier Retraining
Lu, Wenyan	Efficient RNIC Cache Side-channel Attack Detection through DPU-driven Architecture Athena: Add More Intelligence to RMT-based Network Data Plane with Low-bit Quantization
Lu, Yicheng	Automated Data Management and Learning-based Scheduling for Ray-based Hybrid HPC-Cloud Systems
Lu, Yutong	Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters
Lu, Zhi	VeriChroma: Ownership Verification for Federated Models via RGB Filters Lightweight Byzantine-Robust and Privacy-Preserving Federated Learning
Lucarelli, Giorgio	Makespan Minimization for Scheduling on Heterogeneous Platforms with Precedence Constraints
Luo, Guojie	ImageMap: Enabling Efficient Mapping from Image Processing DSL to CGRA
Luo, Handong	Hurry: Dynamic Collaborative Framework For Low-orbit Mega-Constellation Data Downloading
Luo, Jiajun	A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning
Luo, Yingwei	EKRM: Efficient Key-Value Retrieval Method to Reduce Data Lookup Overhead for Redis
Lupión Lorente, Marcos	On the use of hybrid computing for accelerating EEG preprocessing
Lurati, Milo	Bringing auto-tuning to HIP: Analysis of tuning impact and difficulty on AMD and Nvidia GPUs (Artifact)
Lv, Jiguang	FedGG: Leveraging Generative Adversarial Networks and Gradient Smoothing for Privacy Protection in Federated Learning
Lv, Mingtai	Deadline-driven Enhancements and Response Time Analysis of ROS2 Multi-threaded Executors
Lyashevsky, Alexander	Deconstructing HPL-MxP benchmark: a numerical perspective
Löff, Júnior	MPR: An MPI Framework for Distributed Self-Adaptive Stream Processing
M
Magalhaes Alves de Melo, Alba Cristina	A Framework for Automated Parallel Execution of Scientific Multi-Workflow Applications in the Cloud with Work Stealing
Maltempi, Thiago	Combining Compression and Prefetching to Improve Checkpointing for Inverse Seismic Problems in GPUs
Man, Dapeng	FedGG: Leveraging Generative Adversarial Networks and Gradient Smoothing for Privacy Protection in Federated Learning
Marchal, Loris	Solving the Restricted Assignment Problem to Schedule Multi-Get Requests in Key-Value Stores (Artifact)
Martínez, Héctor	Inference with Transformer Encoders on ARM and RISC-V Multicore Processors
Mary, Theo	Mixed precision randomized low-rank approximation with GPU tensor cores Reduced-Precision and Reduced-Exponent Formats for Adaptive-Precision Sparse Matrix-Vector Product
Mei, Hengquan	DProbe: Profiling and Predicting Multi-Tenant Deep Learning Workloads for GPU Resource Scaling
Melab, Nouredine	Investigating Portability in Chapel for Tree-based Optimization on GPU-powered Clusters
Meng, Dan	FakeGuard: A Novel Accelerator Architecture for Deepfake Detection Networks
Meyer, Marius	Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL
Mikina, Filip	sAirflow: Adopting Serverless in a Legacy Workflow Scheduler
Molina, Roméo	Reduced-Precision and Reduced-Exponent Formats for Adaptive-Precision Sparse Matrix-Vector Product
Mongandampulath Akathoott, Anju	FlexiGran: Flexible Granularity Locking in Hierarchies
Moon, Gordon	Accelerated Block-Sparsity-Aware Matrix Reordering for Leveraging Tensor Cores in Sparse Matrix-Multivector Multiplication (Artifact)
Mukunoki, Daichi	Reduced-Precision and Reduced-Exponent Formats for Adaptive-Precision Sparse Matrix-Vector Product
Munoz, Pablo	Resource-Aware Heterogeneous Federated Learning with Specialized Local Models
Muñoz-Muñoz, Dario	Fault tolerant in the Expand Ad-Hoc parallel file system (Artifact)
N
Naman, Pranjal	Optimizing Federated Learning using Remote Embeddings for Graph Neural Networks
Nasre., Rupesh	FlexiGran: Flexible Granularity Locking in Hierarchies
Nassyr, Stepan	Exploring processor micro-architectures optimised for BLAS3 micro-kernels (Artifact)
Navaux, Philippe	Harnessing Data Movement Strategies to Optimize Performance-Energy Efficiency of Oil & Gas Simulations in HPC
Nie, Hewang	VeriChroma: Ownership Verification for Federated Models via RGB Filters Lightweight Byzantine-Robust and Privacy-Preserving Federated Learning
Ning, Wanyi	FLUK: Protecting Federated Learning against Malicious Clients for Internet of Vehicles
Nissim, Roy	Communication Minimizing Toom-Cook Algorithms
O
O'Brien, Kenneth	Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL
Ogras, Umit	TaroRTL: Accelerating RTL Simulation using Coroutine-based Heterogeneous Task Graph Scheduling
Oren, Gal	OMPGPT: A Generative Pre-trained Transformer Model for OpenMP
Ortigosa, Pilar M.	On the use of hybrid computing for accelerating EEG preprocessing
Overton, Ian	QClique: Optimizing Performance and Accuracy in Maximum Weighted Clique
P
Pallez, Guillaume	Scheduling distributed I/O resources in HPC systems
Panetta, Jairo	Harnessing Data Movement Strategies to Optimize Performance-Energy Efficiency of Oil & Gas Simulations in HPC
Pearce, Olga	A Mechanism to Generate Interception Based Tools for HPC Libraries
Peng, Lin	VLASPH: Smoothed Particle Hydrodynamics on VLA SIMD Architectures
Peng, Shaoliang	Pipe-AGCM: A Fine-grain Pipelining Scheme for Optimizing the Parallel Atmospheric General Circulation Model
Pereira, Marcio	Combining Compression and Prefetching to Improve Checkpointing for Inverse Seismic Problems in GPUs
Peri, Sathya	DF* PageRank: Incrementally Expanding Approaches for Updating PageRank on Dynamic Graphs (Artifact)
Petit, Eric	Deconstructing HPL-MxP benchmark: a numerical perspective
Petrica, Lucian	Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL
Peña Ortiz, Raúl	Cloud-native GPU-enabled architecture for parallel video encoding
Pilla, Laercio	A 1.25(1+ε)-Approximation Algorithm for Scheduling with Rejection Costs Proportional to Processing Times (Artifact)
Pleiter, Dirk	Exploring processor micro-architectures optimised for BLAS3 micro-kernels (Artifact)
Plessl, Christian	Optimizing Communication for Latency Sensitive HPC Applications on up to 48 FPGAs Using ACCL
Poquet, Millian	Light-weight prediction for improving energy consumption in HPC platforms (Artifact)
Q
Qi, Qi	FLUK: Protecting Federated Learning against Malicious Clients for Internet of Vehicles
Qian, Jiahong	CSIMD: Cross-Search Algorithm with Improved Multi-Dimensional Dichotomy for Micro-batch-based Pipeline Parallel Training in DNN
Qiu, Kun	Hurry: Dynamic Collaborative Framework For Low-orbit Mega-Constellation Data Downloading
Quan, Wei	Node Bundle Scheduling: An Ultra-Low Latency Traffic Scheduling Algorithm for TAS-based Time-Sensitive Networks
Quiles, Francisco J.	Hybrid Congestion Control for BXI-based Interconnection Networks
Quintana-Orti, Enrique S.	Inference with Transformer Encoders on ARM and RISC-V Multicore Processors
R
Ramezanikebrya, Hamidreza	(re)Assessing PiM Effectiveness for Sequence Alignment
Rapine, Christophe	Makespan Minimization for Scheduling on Heterogeneous Platforms with Precedence Constraints
Rebai, Maher	Optimizing Service Replication and Placement for IoT Applications in Fog Computing Systems
Ren, Xiaoli	Pipe-AGCM: A Fine-grain Pipelining Scheme for Optimizing the Parallel Atmospheric General Circulation Model
Rigo, Sandro	Combining Compression and Prefetching to Improve Checkpointing for Inverse Seismic Problems in GPUs
Rigon, Pedro	Harnessing Data Movement Strategies to Optimize Performance-Energy Efficiency of Oil & Gas Simulations in HPC
Ripeanu, Matei	(re)Assessing PiM Effectiveness for Sequence Alignment
Robeyns, Matthieu	Mixed precision randomized low-rank approximation with GPU tensor cores
Rodríguez-Sánchez, Rafael	Inference with Transformer Encoders on ARM and RISC-V Multicore Processors
Romero, L. Felipe	On the use of hybrid computing for accelerating EEG preprocessing
Romero, Luis F.	On the use of hybrid computing for accelerating EEG preprocessing
Rong, Chunming	PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds
Rzadca, Krzysztof	sAirflow: Adopting Serverless in a Legacy Workflow Scheduler
S
Sahu, Subhajit	DF* PageRank: Incrementally Expanding Approaches for Updating PageRank on Dynamic Graphs (Artifact)
Salcedo Navarro, Andoni	Cloud-native GPU-enabled architecture for parallel video encoding
San Miguel, Joshua	TaroRTL: Accelerating RTL Simulation using Coroutine-based Heterogeneous Task Graph Scheduling
Sanchez, Keegan	A High-Performance Collective I/O Framework Leveraging Node-Local Persistent Memory
Sardinha, Alexandre	Harnessing Data Movement Strategies to Optimize Performance-Energy Efficiency of Oil & Gas Simulations in HPC
Schubert da Incarnacao Lima da Silva, Helena	A Framework for Automated Parallel Execution of Scientific Multi-Workflow Applications in the Cloud with Work Stealing
Schulz, Martin	A Mechanism to Generate Interception Based Tools for HPC Libraries
Schussler, Brenda	Harnessing Data Movement Strategies to Optimize Performance-Energy Efficiency of Oil & Gas Simulations in HPC
Schwartz, Oded	Communication Minimizing Toom-Cook Algorithms
Sclocco, Alessio	Bringing auto-tuning to HIP: Analysis of tuning impact and difficulty on AMD and Nvidia GPUs (Artifact)
Seletskiy, Aleksei	A Fast Wait-Free Solution to Read-Reclaim Races in Reference Counting (Artifact)
Shanmugavelu, Sanjif	WActiGrad: Structured Pruning for Efficient Finetuning and Inference of Large Language Models on AI Accelerators
Shen, Haibin	A Folded Computation-in-Memory Accelerator for Fast Polynomial Multiplication in BIKE
Shen, Jingran	Distributed Simulation for Digital Twins of Large-Scale Real-World DiffServ-Based Networks
Shen, Wenfeng	Improving Generalization and Personalization in Long-Tailed Federated Learning via Classifier Retraining
Shi, Bizhao	ImageMap: Enabling Efficient Mapping from Image Processing DSL to CGRA
Sikora, Anna	Efficient Code Region Characterization through Automatic Performance Counters Reduction using Machine Learning Techniques
Silva, Pedro Mario	Harnessing Data Movement Strategies to Optimize Performance-Energy Efficiency of Oil & Gas Simulations in HPC
Silvano, Cristina	MEPAD: A Memory-efficient Parallelized Direct Convolution Algorithm for Deep Neural Networks
Simmhan, Yogesh	Optimizing Federated Learning using Remote Embeddings for Graph Neural Networks
Song, Jiajun	A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning
Song, Zhuoran	Watt: A Write-optimized RRAM-based Accelerator for Attention
Spiizer, Yuval	Communication Minimizing Toom-Cook Algorithms
Stelling de Castro, Maria Clicia	A Framework for Automated Parallel Execution of Scientific Multi-Workflow Applications in the Cloud with Work Stealing
Stolf, Patricia	Light-weight prediction for improving energy consumption in HPC platforms (Artifact)
Su, Teng	CSIMD: Cross-Search Algorithm with Improved Multi-Dimensional Dichotomy for Micro-batch-based Pipeline Parallel Training in DNN
Sui, Bingcai	ImSPU: Implicit Sharing of Computation Resources between Vector and Scalar Processing Units
Sun, Guangzhong	DProbe: Profiling and Predicting Multi-Tenant Deep Learning Workloads for GPU Resource Scaling
Sun, Guichu	ImSPU: Implicit Sharing of Computation Resources between Vector and Scalar Processing Units
Sun, Haifeng	FLUK: Protecting Federated Learning against Malicious Clients for Internet of Vehicles
Sun, Jingwei	DProbe: Profiling and Predicting Multi-Tenant Deep Learning Workloads for GPU Resource Scaling
Sun, Ninghui	Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation
Sun, Peng	DProbe: Profiling and Predicting Multi-Tenant Deep Learning Workloads for GPU Resource Scaling
Sun, Zhigang	Node Bundle Scheduling: An Ultra-Low Latency Traffic Scheduling Algorithm for TAS-based Time-Sensitive Networks
Sánchez de la Rosa, Miguel	Hybrid Congestion Control for BXI-based Interconnection Networks
T
Taboada, Hugo	Predicting GPU kernel's performance on upcoming architectures
Tan, Guangming	Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation
Tan, Hongbing	ImSPU: Implicit Sharing of Computation Resources between Vector and Scalar Processing Units
Tang, Haibo	Towards High-Performance Transactions via Hierarchical Blockchain Sharding
Tang, Tao	VLASPH: Smoothed Particle Hydrodynamics on VLA SIMD Architectures
Tang, Xuehai	Quartet: A Holistic Hybrid Parallel Framework for Training Large Language Models
Tao, Huili	Automated Data Management and Learning-based Scheduling for Ray-based Hybrid HPC-Cloud Systems
Tatebe, Osamu	PEANUTS: A Persistent Memory-Based Network Unilateral Transfer System for Enhanced MPI-IO Data Transfer (Artifact)
Tatu, Cristian	GPU Cache System for COMPSs: A Task-Based Distributed Computing Framework
Theodoropoulos, Georgios	Distributed Simulation for Digital Twins of Large-Scale Real-World DiffServ-Based Networks
Tian, Wenhong	CSIMD: Cross-Search Algorithm with Improved Multi-Dimensional Dichotomy for Micro-batch-based Pipeline Parallel Training in DNN
Trahay, François	Predicting GPU kernel's performance on upcoming architectures
Trystram, Denis	Light-weight prediction for improving energy consumption in HPC platforms (Artifact)
Tsigas, Philippas	How to Relax Instantly: Elastic Relaxation of Concurrent Data Structures (Artifact)
Tziritas, Nikos	Distributed Simulation for Digital Twins of Large-Scale Real-World DiffServ-Based Networks
V
Van Kempen, Alexandre	A 1.25(1+ε)-Approximation Algorithm for Scheduling with Rejection Costs Proportional to Processing Times (Artifact)
Van Lanker, Lucas	Predicting GPU kernel's performance on upcoming architectures
van Werkhoven, Ben	Bringing auto-tuning to HIP: Analysis of tuning impact and difficulty on AMD and Nvidia GPUs (Artifact)
Vandierendonck, Hans	QClique: Optimizing Performance and Accuracy in Maximum Weighted Clique
Vazquez, Fernando	GPU Cache System for COMPSs: A Task-Based Distributed Computing Framework
Vishwanath, Venkatram	WActiGrad: Structured Pruning for Efficient Finetuning and Inference of Large Language Models on AI Accelerators
Vo, Vy	OMPGPT: A Generative Pre-trained Transformer Model for OpenMP
von Geijer, Kåre	How to Relax Instantly: Elastic Relaxation of Concurrent Data Structures (Artifact)
W
Wang, Chuhui	A Folded Computation-in-Memory Accelerator for Fast Polynomial Multiplication in BIKE
Wang, Hongyu	Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation
Wang, Jingyu	FLUK: Protecting Federated Learning against Malicious Clients for Internet of Vehicles
Wang, Lin	Asymmetric Coded Distributed Computation for Resilient Prediction Serving Systems
Wang, Mu	VeriChroma: Ownership Verification for Federated Models via RGB Filters
Wang, Xiaolin	EKRM: Efficient Key-Value Retrieval Method to Reduce Data Lookup Overhead for Redis
Wang, Xingbin	FakeGuard: A Novel Accelerator Architecture for Deepfake Detection Networks
Wang, Yongwen	ImSPU: Implicit Sharing of Computation Resources between Vector and Scalar Processing Units
Wang, Yuandou	PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds
Wang, Zhenlin	EKRM: Efficient Key-Value Retrieval Method to Reduce Data Lookup Overhead for Redis
Wang, Zhi	A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning
Wei, Jinhui	Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters
Wei, Xinming	ImageMap: Enabling Efficient Mapping from Image Processing DSL to CGRA
Wiesner, Philipp	LogRCA: Log-based Root Cause Analysis for Distributed Services
Wijs, Anton	Compact Parallel Hash Tables on the GPU (Artifact)
Wittkopp, Thorsten	LogRCA: Log-based Root Cause Analysis for Distributed Services
Wu, Jianping	Pipe-AGCM: A Fine-grain Pipelining Scheme for Optimizing the Parallel Atmospheric General Circulation Model
Wu, Jianyu	EKRM: Efficient Key-Value Retrieval Method to Reduce Data Lookup Overhead for Redis
Wu, Jingya	Efficient RNIC Cache Side-channel Attack Detection through DPU-driven Architecture Athena: Add More Intelligence to RMT-based Network Data Plane with Low-bit Quantization
Wu, Junjun	Lightweight Byzantine-Robust and Privacy-Preserving Federated Learning
Wu, Kesheng	A High-Performance Collective I/O Framework Leveraging Node-Local Persistent Memory
Wu, Meng	GDL-GNN: Applying GPU Dataloading of Large Datasets for Graph Neural Network Inference ADE-HGNN: Accelerating HGNNs through Attention Disparity Exploitation Disttack: Graph Adversarial Attacks Toward Distributed GNN Training
Wu, Xing	Quartet: A Holistic Hybrid Parallel Framework for Training Large Language Models
Wu, Zhengda	Deadline-driven Enhancements and Response Time Analysis of ROS2 Multi-threaded Executors
Wöltgens, Daan	Compact Parallel Hash Tables on the GPU (Artifact)
X
Xiao, Jue	VeriChroma: Ownership Verification for Federated Models via RGB Filters
Xiao, Jue	Lightweight Byzantine-Robust and Privacy-Preserving Federated Learning
Xiao, Liquan	ImSPU: Implicit Sharing of Computation Resources between Vector and Scalar Processing Units
Xiao, Renzhi	Asymmetric Coded Distributed Computation for Resilient Prediction Serving Systems
Xie, Shuzhao	A Joint Approach to Local Updating and Gradient Compression for Efficient Asynchronous Federated Learning
Xie, Yuanlun	CSIMD: Cross-Search Algorithm with Improved Multi-Dimensional Dichotomy for Micro-batch-based Pipeline Parallel Training in DNN
Xu, Shuchun	FedGG: Leveraging Generative Adversarial Networks and Gradient Smoothing for Privacy Protection in Federated Learning
Xue, Runzhen	ADE-HGNN: Accelerating HGNNs through Attention Disparity Exploitation
Y
Yan, Guihai	Efficient RNIC Cache Side-channel Attack Detection through DPU-driven Architecture Athena: Add More Intelligence to RMT-based Network Data Plane with Low-bit Quantization
Yan, Mingyu	GDL-GNN: Applying GPU Dataloading of Large Datasets for Graph Neural Network Inference ADE-HGNN: Accelerating HGNNs through Attention Disparity Exploitation Disttack: Graph Adversarial Attacks Toward Distributed GNN Training
Yan, Wei	Disttack: Graph Adversarial Attacks Toward Distributed GNN Training
Yang, Canqun	VLASPH: Smoothed Particle Hydrodynamics on VLA SIMD Architectures
Yang, Qian	Node Bundle Scheduling: An Ultra-Low Latency Traffic Scheduling Algorithm for TAS-based Time-Sensitive Networks
Yang, Sining	Deadline-driven Enhancements and Response Time Analysis of ROS2 Multi-threaded Executors
Yang, Wu	FedGG: Leveraging Generative Adversarial Networks and Gradient Smoothing for Privacy Protection in Federated Learning
Yang, Ziheng	Hurry: Dynamic Collaborative Framework For Low-orbit Mega-Constellation Data Downloading
Yao, Shixiong	Accelerating Stencil Computation with Fully Homomorphic Encryption Using GPU
Yao, Xiaojiao	Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters
Yao, Yiming	EKRM: Efficient Key-Value Retrieval Method to Reduce Data Lookup Overhead for Redis
Ye, Xiaochun	GDL-GNN: Applying GPU Dataloading of Large Datasets for Graph Neural Network Inference ADE-HGNN: Accelerating HGNNs through Attention Disparity Exploitation Disttack: Graph Adversarial Attacks Toward Distributed GNN Training
Ye, Zewen	A Folded Computation-in-Memory Accelerator for Fast Polynomial Multiplication in BIKE
Yi, Zepu	VeriChroma: Ownership Verification for Federated Models via RGB Filters Lightweight Byzantine-Robust and Privacy-Preserving Federated Learning
Yu, Jeffery Xu	Vectorizing Sparse Blocks of Graph Matrices for SpMV
Yu, Sixing	Resource-Aware Heterogeneous Federated Learning with Specialized Local Models
Yviquel, Hervé	Combining Compression and Prefetching to Improve Checkpointing for Inverse Seismic Problems in GPUs
Z
Zhan, Xiaodong	FedGG: Leveraging Generative Adversarial Networks and Gradient Smoothing for Privacy Protection in Federated Learning
Zhang, Bo	Deadline-driven Enhancements and Response Time Analysis of ROS2 Multi-threaded Executors
Zhang, Hongbin	Efficient Coupling Streaming AI and Ensemble Simulations on HPC Clusters
Zhang, Huan	Towards High-Performance Transactions via Hierarchical Blockchain Sharding
Zhang, Jing	ImSPU: Implicit Sharing of Computation Resources between Vector and Scalar Processing Units
Zhang, Nan	Distributed Simulation for Digital Twins of Large-Scale Real-World DiffServ-Based Networks
Zhang, Qi	Hurry: Dynamic Collaborative Framework For Low-orbit Mega-Constellation Data Downloading
Zhang, Weigang	Quartet: A Holistic Hybrid Parallel Framework for Training Large Language Models
Zhang, Xuan	Watt: A Write-optimized RRAM-based Accelerator for Attention
Zhang, Xuechen	A High-Performance Collective I/O Framework Leveraging Node-Local Persistent Memory
Zhang, Yuxiang	Disttack: Graph Adversarial Attacks Toward Distributed GNN Training
Zhang, Zhao	Towards High-Performance Transactions via Hierarchical Blockchain Sharding
Zhang, Zhenyu	Towards High-Performance Transactions via Hierarchical Blockchain Sharding
Zhao, Juan	Pipe-AGCM: A Fine-grain Pipelining Scheme for Optimizing the Parallel Atmospheric General Circulation Model
Zhao, Tong	Accelerating Large-Scale Sparse LU Factorization for RF Circuit Simulation
Zhao, Zhiming	PriCE: Privacy-Preserving and Cost-Effective Scheduling for Parallelizing the Large Medical Image Processing Workflow over Hybrid Clouds
Zheng, Zhong	ImSPU: Implicit Sharing of Computation Resources between Vector and Scalar Processing Units
Zhou, Aoying	Towards High-Performance Transactions via Hierarchical Blockchain Sharding
Zhou, Biyu	Quartet: A Holistic Hybrid Parallel Framework for Training Large Language Models
Zhou, Guangyao	CSIMD: Cross-Search Algorithm with Improved Multi-Dimensional Dichotomy for Micro-batch-based Pipeline Parallel Training in DNN
Zhou, Xianlong	Accelerating Stencil Computation with Fully Homomorphic Encryption Using GPU
Zhou, Zechun	DProbe: Profiling and Predicting Multi-Tenant Deep Learning Workloads for GPU Resource Scaling
Zhu, Liren	EKRM: Efficient Key-Value Retrieval Method to Reduce Data Lookup Overhead for Redis
Zhu, Mengde	FLUK: Protecting Federated Learning against Malicious Clients for Internet of Vehicles
Zhu, Wenjun	Hurry: Dynamic Collaborative Framework For Low-orbit Mega-Constellation Data Downloading
Zhu, Zhongbo	Automated Data Management and Learning-based Scheduling for Ray-based Hybrid HPC-Cloud Systems
Zhuang, Zirui	FLUK: Protecting Federated Learning against Malicious Clients for Internet of Vehicles
Ziche, Filippo	GPU-Accelerated BFS for Dynamic Networks
Zou, Sunan	ImageMap: Enabling Efficient Mapping from Image Processing DSL to CGRA
Zubair, Mohammad	ESIMD GPU implementations of Deep Learning Sparse Matrix Kernels
Ż
Żuk, Paweł	sAirflow: Adopting Serverless in a Legacy Workflow Scheduler

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