An Evaluation and Comparison of GPU Hardware and Solver Libraries for Accelerating the OPM Flow Reservoir Simulator
Fuente:
arXiv
Saved in:
| Main Authors: | Qiu, Tong Dong, Thune, Andreas, Martins, Vinicius Oliveira, Blatt, Markus, Rustad, Alf Birger, Nane, Razvan |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MoE-Hub: Taming Software Complexity for Seamless MoE Overlap with Hardware-Accelerated Communication on Multi-GPU Systems
by: Zhou, Zhuoshan, et al.
Published: (2026)
by: Zhou, Zhuoshan, et al.
Published: (2026)
CCSS: Hardware-Accelerated RTL Simulation with Fast Combinational Logic Computing and Sequential Logic Synchronization
by: Feng, Weigang, et al.
Published: (2025)
by: Feng, Weigang, et al.
Published: (2025)
Sparse MTTKRP Acceleration for Tensor Decomposition on GPU
by: Wijeratne, Sasindu, et al.
Published: (2024)
by: Wijeratne, Sasindu, et al.
Published: (2024)
Application Experiences on a GPU-Accelerated Arm-based HPC Testbed
by: Elwasif, Wael, et al.
Published: (2022)
by: Elwasif, Wael, et al.
Published: (2022)
Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training
by: Adnan, Muhammad, et al.
Published: (2024)
by: Adnan, Muhammad, et al.
Published: (2024)
HetGPU: The pursuit of making binary compatibility towards GPUs
by: Yang, Yiwei, et al.
Published: (2025)
by: Yang, Yiwei, et al.
Published: (2025)
Switchboard: An Open-Source Framework for Modular Simulation of Large Hardware Systems
by: Herbst, Steven, et al.
Published: (2024)
by: Herbst, Steven, et al.
Published: (2024)
Multi-Partner Project: Multi-GPU Performance Portability Analysis for CFD Simulations at Scale
by: Eleftherakis, Panagiotis-Eleftherios, et al.
Published: (2026)
by: Eleftherakis, Panagiotis-Eleftherios, et al.
Published: (2026)
CLAASIC: a Cortex-Inspired Hardware Accelerator
by: Puente, Valentin, et al.
Published: (2016)
by: Puente, Valentin, et al.
Published: (2016)
Characterizing CPU-Induced Slowdowns in Multi-GPU LLM Inference
by: Chung, Euijun, et al.
Published: (2026)
by: Chung, Euijun, et al.
Published: (2026)
Optimizing ML Concurrent Computation and Communication with GPU DMA Engines
by: Agrawal, Anirudha, et al.
Published: (2024)
by: Agrawal, Anirudha, et al.
Published: (2024)
Microbenchmark-Driven Analytical Performance Modeling Across Modern GPU Architectures
by: Jarmusch, Aaron, et al.
Published: (2026)
by: Jarmusch, Aaron, et al.
Published: (2026)
Analyzing Reverse Address Translation Overheads in Multi-GPU Scale-Up Pods
by: Fatima, Amel, et al.
Published: (2026)
by: Fatima, Amel, et al.
Published: (2026)
FinGraV: Methodology for Fine-Grain GPU Power Visibility and Insights
by: Singhania, Varsha, et al.
Published: (2024)
by: Singhania, Varsha, et al.
Published: (2024)
Tascade: Hardware Support for Atomic-free, Asynchronous and Efficient Reduction Trees
by: Orenes-Vera, Marcelo, et al.
Published: (2023)
by: Orenes-Vera, Marcelo, et al.
Published: (2023)
MLDSE: Scaling Design Space Exploration Infrastructure for Multi-Level Hardware
by: Qu, Huanyu, et al.
Published: (2025)
by: Qu, Huanyu, et al.
Published: (2025)
Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems
by: Zhang, Chen, et al.
Published: (2026)
by: Zhang, Chen, et al.
Published: (2026)
Scheduling Techniques of AI Models on Modern Heterogeneous Edge GPU -- A Critical Review
by: Majeed, Ashiyana Abdul, et al.
Published: (2025)
by: Majeed, Ashiyana Abdul, et al.
Published: (2025)
Improving Multi-Instance GPU Efficiency via Sub-Entry Sharing TLB Design
by: Li, Bingyao, et al.
Published: (2024)
by: Li, Bingyao, et al.
Published: (2024)
Fine-Grained Power and Energy Attribution on AMD GPU/APU-Based Exascale Nodes
by: McDaniel, Adam, et al.
Published: (2026)
by: McDaniel, Adam, et al.
Published: (2026)
Accelerating Recommender Model ETL with a Streaming FPGA-GPU Dataflow
by: Zhu, Yu, et al.
Published: (2025)
by: Zhu, Yu, et al.
Published: (2025)
Chopper: A Multi-Level GPU Characterization Tool & Derived Insights Into LLM Training Inefficiency
by: Kurzynski, Marco, et al.
Published: (2025)
by: Kurzynski, Marco, et al.
Published: (2025)
NasZip: Software and Hardware Co-Design to Accelerate Approximate Nearest Neighbor Search with DIMM-Based Near-Data Processing
by: Zou, Cheng, et al.
Published: (2026)
by: Zou, Cheng, et al.
Published: (2026)
GigaAPI for GPU Parallelization
by: Suvarna, M., et al.
Published: (2025)
by: Suvarna, M., et al.
Published: (2025)
Tangram: Accelerating Serverless LLM Loading through GPU Memory Reuse and Affinity
by: Zhu, Wenbin, et al.
Published: (2025)
by: Zhu, Wenbin, et al.
Published: (2025)
SwarmIO: Towards 100 Million IOPS SSD Emulation for Next-generation GPU-centric Storage Systems
by: Kim, Hyeseong, et al.
Published: (2026)
by: Kim, Hyeseong, et al.
Published: (2026)
Evaluation of computational and energy performance in matrix multiplication algorithms on CPU and GPU using MKL, cuBLAS and SYCL
by: Torres, L. A., et al.
Published: (2024)
by: Torres, L. A., et al.
Published: (2024)
Next-generation Probabilistic Computing Hardware with 3D MOSAICs, Illusion Scale-up, and Co-design
by: Srimani, Tathagata, et al.
Published: (2024)
by: Srimani, Tathagata, et al.
Published: (2024)
A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
by: Zhang, Shichang, et al.
Published: (2023)
by: Zhang, Shichang, et al.
Published: (2023)
TT-Edge: A Hardware-Software Co-Design for Energy-Efficient Tensor-Train Decomposition on Edge AI
by: Kwak, Hyunseok, et al.
Published: (2025)
by: Kwak, Hyunseok, et al.
Published: (2025)
ODIN-Based CPU-GPU Architecture with Replay-Driven Simulation and Emulation
by: Dorairaj, Nij, et al.
Published: (2026)
by: Dorairaj, Nij, et al.
Published: (2026)
Parallelizing a modern GPU simulator
by: Huerta, Rodrigo, et al.
Published: (2025)
by: Huerta, Rodrigo, et al.
Published: (2025)
Leveraging SIMD for Accelerating Large-number Arithmetic
by: Das, Subhrajit, et al.
Published: (2026)
by: Das, Subhrajit, et al.
Published: (2026)
Accelerating Triangle Counting with Real Processing-in-Memory Systems
by: Asquini, Lorenzo, et al.
Published: (2025)
by: Asquini, Lorenzo, et al.
Published: (2025)
Balanced Data Placement for GEMV Acceleration with Processing-In-Memory
by: Ibrahim, Mohamed Assem, et al.
Published: (2024)
by: Ibrahim, Mohamed Assem, et al.
Published: (2024)
Accelerating Data Chunking in Deduplication Systems using Vector Instructions
by: Udayashankar, Sreeharsha, et al.
Published: (2025)
by: Udayashankar, Sreeharsha, et al.
Published: (2025)
Accelerating MoE with Dynamic In-Switch Computing on Multi-GPUs
by: Zhang, Qijun, et al.
Published: (2026)
by: Zhang, Qijun, et al.
Published: (2026)
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale
by: Zhu, Zeyu, et al.
Published: (2024)
by: Zhu, Zeyu, et al.
Published: (2024)
A Heterogeneous Chiplet Architecture for Accelerating End-to-End Transformer Models
by: Sharma, Harsh, et al.
Published: (2023)
by: Sharma, Harsh, et al.
Published: (2023)
TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs
by: Prakriya, Neha, et al.
Published: (2023)
by: Prakriya, Neha, et al.
Published: (2023)
Similar Items
-
MoE-Hub: Taming Software Complexity for Seamless MoE Overlap with Hardware-Accelerated Communication on Multi-GPU Systems
by: Zhou, Zhuoshan, et al.
Published: (2026) -
CCSS: Hardware-Accelerated RTL Simulation with Fast Combinational Logic Computing and Sequential Logic Synchronization
by: Feng, Weigang, et al.
Published: (2025) -
Sparse MTTKRP Acceleration for Tensor Decomposition on GPU
by: Wijeratne, Sasindu, et al.
Published: (2024) -
Application Experiences on a GPU-Accelerated Arm-based HPC Testbed
by: Elwasif, Wael, et al.
Published: (2022) -
Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training
by: Adnan, Muhammad, et al.
Published: (2024)