Výsledky vyhledávání - Computing methodologies → Massively parallel algorithms*

Seed-and-Vote based In-Memory Accelerator for DNA Read Mapping Autor Laguna, Ann Franchesca, Gamaarachchi, Hasindu, Yin, Xunzhao, Niemier, Michael, Parameswaran, Sri, Hu, X. Sharon

“… In-memory computing can help address the memory-bandwidth bottleneck by minimizing data transfers…”
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DARIS: An Oversubscribed Spatio-Temporal Scheduler for Real-Time DNN Inference on GPUs Autor Babaei, Amir Fakhim, Chantem, Thidapat

“… In particular, DARIS improves GPU utilization and uniquely analyzes GPU concurrency by oversubscribing computing resources…”
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Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs Autor Wang, Pengyu, Li, Chao, Wang, Jing, Wang, Taolei, Zhang, Lu, Leng, Jingwen, Chen, Quan, Guo, Minyi

“…Graph sampling and random walk operations, capturing the structural properties of graphs, are playing an important role today as we cannot directly adopt computing-intensive algorithms on large-scale graphs…”
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MAD-Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems Autor Hsia, Samuel, Golden, Alicia, Acun, Bilge, Ardalani, Newsha, DeVito, Zachary, Wei, Gu-Yeon, Brooks, David, Wu, Carole-Jean

“…Training and deploying large-scale machine learning models is time-consuming, requires significant distributed computing infrastructures, and incurs high operational costs…”
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DenSparSA: A Balanced Systolic Array Approach for Dense and Sparse Matrix Multiplication Autor Wang, Ziheng, Sun, Ruiqi, He, Xin, Ma, Tianrui, Zou, An

“…Numerous studies have proposed hardware architectures to accelerate sparse matrix multiplication, but these approaches often incur substantial area and power…”
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HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference Autor Zhong, Shuzhang, Sun, Yanfan, Liang, Ling, Wang, Runsheng, Huang, Ru, Li, Meng

“…The Mixture of Experts (MoE) architecture has demonstrated significant advantages as it enables to increase the model capacity without a proportional increase…”
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NDFT: Accelerating Density Functional Theory Calculations via Hardware/Software Co-Design on Near-Data Computing System Autor Jiang, Qingcai, Tu, Buxin, Hao, Xiaoyu, Chen, Junshi, An, Hong

“…Linear-response time-dependent Density Functional Theory (LR-TDDFT) is a widely used method for accurately predicting the excited-state properties of physical…”
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SFLU: Synchronization-Free Sparse LU Factorization for Fast Circuit Simulation on GPUs Autor Zhao, Jianqi, Wen, Yao, Luo, Yuchen, Jin, Zhou, Liu, Weifeng, Zhou, Zhenya

“…Sparse LU factorization is one of the key building blocks of sparse direct solvers and often dominates the computing time of circuit simulation programs…”
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OpenDRC: An Efficient Open-Source Design Rule Checking Engine with Hierarchical GPU Acceleration Autor He, Zhuolun, Zuo, Yihang, Jiang, Jiaxi, Zheng, Haisheng, Ma, Yuzhe, Yu, Bei

“… OpenDRC maintains hierarchical layouts with layer-wise bounding volume hierarchies and performs adaptive row-based partition to identify independent regions for check pruning and/or parallel processing…”
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pSyncPIM: Partially Synchronous Execution of Sparse Matrix Operations for All-Bank PIM Architectures Autor Baek, Daehyeon, Hwang, Soojin, Huh, Jaehyuk

“…Recent commercial incarnations of processing-in-memory (PIM) maintain the standard DRAM interface and employ the all-bank mode execution to maximize bank-level…”
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Leveraging Difference Recurrence Relations for High-Performance GPU Genome Alignment Autor Zeni, Alberto, Onken, Seth, Santambrogio, Marco Domenico, Samadi, Mehrzad

“…Genome pairwise sequence alignment is one of the most computationally intensive workloads in many genomic pipelines, often accounting for over 90% of the…”
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Parallelizing Maximal Clique Enumeration on GPUs Autor Almasri, Mohammad, Chang, Yen-Hsiang, Hajj, Izzat El, Nagi, Rakesh, Xiong, Jinjun, Hwu, Wen-mei

“… We propose to parallelize MCE on GPUs by performing depth-first traversal of independent subtrees in parallel…”
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Accelerating Fourier and Number Theoretic Transforms using Tensor Cores and Warp Shuffles Autor Durrani, Sultan, Chughtai, Muhammad Saad, Hidayetoglu, Mert, Tahir, Rashid, Dakkak, Abdul, Rauchwerger, Lawrence, Zaffar, Fareed, Hwu, Wen-mei

“… However, despite their usefulness and utility, their adoption continues to be a challenge as computing the DFT of a signal can be a time-consuming and expensive operation…”
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Seer: Predictive Runtime Kernel Selection for Irregular Problems Autor Swann, Ryan, Osama, Muhammad, Sangaiah, Karthik, Mahmud, Jalal

“…Modern GPUs are designed for regular problems and suffer from load imbalance when processing irregular data. Prior to our work, a domain expert selects the…”
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SpV8: Pursuing Optimal Vectorization and Regular Computation Pattern in SpMV Autor Li, Chenyang, Xia, Tian, Zhao, Wenzhe, Zheng, Nanning, Ren, Pengju

“…Sparse Matrix-Vector Multiplication (SpMV) plays an important role in many scientific and industry applications, and remains a well-known challenge due to the…”
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TSUNAMI: A GPU Implementation of the WFA Algorithm Autor Gerometta, Giulia, Zeni, Alberto, Santambrogio, Marco D.

“… TSUNAMI exploits GPU high-parallel computing to accelerate…”
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High Performance Computing for gravitational lens modeling: Single vs double precision on GPUs and CPUs Autor Rexroth, M., Schäfer, C., Fourestey, G., Kneib, J.-P.

“… In this paper, we present a proof-of-concept study on the impact of High Performance Computing techniques on a performance-critical part of the widely used lens modeling software LENSTOOL…”
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Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics Autor Dathathri, Roshan, Gill, Gurbinder, Hoang, Loc, Jatala, Vishwesh, Pingali, Keshav, Nandivada, V. Krishna, Dang, Hoang-Vu, Snir, Marc

“…Distributed graph analytics systems for CPUs, like D-Galois and Gemini, and for GPUs, like D-IrGL and Lux, use a bulk-synchronous parallel (BSP…”
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Ultra Efficient Acceleration for De Novo Genome Assembly via Near-Memory Computing Autor Zhou, Minxuan, Wu, Lingxi, Li, Muzhou, Moshiri, Niema, Skadron, Kevin, Rosing, Tajana

“…De novo assembly of genomes for which there is no reference, is essential for novel species discovery and metagenomics. In this work, we accelerate two key…”
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Optimizing memory efficiency for convolution kernels on kepler GPUs Autor Xiaoming Chen, Jianxu Chen, Chen, Danny Z., Hu, Xiaobo Sharon

“…Convolution is a fundamental operation in many applications, such as computer vision, natural language processing, image processing, etc. Recent successes of…”
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