Search Results - Computing methodologies → Parallel computing methodologies

SFLU: Synchronization-Free Sparse LU Factorization for Fast Circuit Simulation on GPUs by 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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Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs by 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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Parallelizing Maximal Clique Enumeration on GPUs by 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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Leveraging Difference Recurrence Relations for High-Performance GPU Genome Alignment by 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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MAD-Max Beyond Single-Node: Enabling Large Machine Learning Model Acceleration on Distributed Systems by 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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TSUNAMI: A GPU Implementation of the WFA Algorithm by Gerometta, Giulia, Zeni, Alberto, Santambrogio, Marco D.

“… TSUNAMI exploits GPU high-parallel computing to accelerate…”
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pSyncPIM: Partially Synchronous Execution of Sparse Matrix Operations for All-Bank PIM Architectures by 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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OpenDRC: An Efficient Open-Source Design Rule Checking Engine with Hierarchical GPU Acceleration by 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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Accelerating Fourier and Number Theoretic Transforms using Tensor Cores and Warp Shuffles by 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 by 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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NDFT: Accelerating Density Functional Theory Calculations via Hardware/Software Co-Design on Near-Data Computing System by 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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DARIS: An Oversubscribed Spatio-Temporal Scheduler for Real-Time DNN Inference on GPUs by Babaei, Amir Fakhim, Chantem, Thidapat

“… In particular, DARIS improves GPU utilization and uniquely analyzes GPU concurrency by oversubscribing computing resources…”
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Ultra Efficient Acceleration for De Novo Genome Assembly via Near-Memory Computing by 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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SpV8: Pursuing Optimal Vectorization and Regular Computation Pattern in SpMV by 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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HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference by 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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Gluon-Async: A Bulk-Asynchronous System for Distributed and Heterogeneous Graph Analytics by 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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Versatile Cross-platform Compilation Toolchain for Schrödinger-style Quantum Circuit Simulation by Lu, Yuncheng, Liang, Shuang, Fan, Hongxiang, Guo, Ce, Luk, Wayne, Kelly, Paul H. J.

“…While existing quantum hardware resources have limited availability and reliability, there is a growing demand for exploring and verifying quantum algorithms…”
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PID-Comm: A Fast and Flexible Collective Communication Framework for Commodity Processing-in-DIMM Devices by Noh, Si Ung, Hong, Junguk, Lim, Chaemin, Park, Seongyeon, Kim, Jeehyun, Kim, Hanjun, Kim, Youngsok, Lee, Jinho

“… Many highly parallel applications have been shown to benefit from these PIM-enabled DIMMs, but further speedup is often limited by the huge overhead of inter-PE collective communication…”
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GPU Acceleration of RSA is Vulnerable to Side-channel Timing Attacks by Luo, Chao, Fei, Yunsi, Kaeli, David

“… With the advent of general-purpose GPUs, the performance of RSA has been improved significantly by exploiting parallel computing on a GPU [9], [18], [23], [26…”
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DenSparSA: A Balanced Systolic Array Approach for Dense and Sparse Matrix Multiplication by 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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