Search Results - Computing methodologies Concurrent computing methodologies

Assuming Just Enough Fairness to make Session Types Complete for Lock-freedom by Glabbeek, Rob van, Hofner, Peter, Horne, Ross

“… of lock-freedom, which assumes only justness of execution paths, a minimal fairness assumption for concurrent systems…”
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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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HADES: Hardware-Assisted Distributed Transactions in the Age of Fast Networks and SmartNICs by Kokolis, Apostolos, Psistakis, Antonis, Reidys, Benjamin, Huang, Jian, Torrellas, Josep

“…Transactional-based distributed storage applications such as key-value stores and databases are widely used in the cloud. Recently, the hardware on which these…”
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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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LLM-Based Java Concurrent Program to ArkTS Converter by Liu, Runlin, Lin, Yuhang, Hu, Yunge, Zhang, Zhe, Gao, Xiang

“…). This paper presents an LLM-based concurrent Java program to ArkTS converter.Our converter utilizes large language models (LLMs…”
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Late Breaking Results: An Efficient and Scalable Track Assignment with GPU Parallelism by Liu, Genggeng, Huang, Pengcheng, Li, Zepeng, Liu, Wen-Hao, Huang, Xing, Guo, Wenzhong

“…The track assignment has been introduced between global routing and detail routing. Based on the independence and divisibility of track assignment, we propose…”
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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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Architecture-Aware Currying by Kandemir, Mahmut Taylan, Akbulut, Gulsum Gudukbay, Choi, Wonil, Karakoy, Mustafa

“…In near-data computing (NDC), computation is brought into data, as opposed to bringing data to computation…”
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Unfair Scheduling Patterns in NUMA Architectures by Ben-David, Naama, Scully, Ziv, Blelloch, Guy E.

“… This begs the question: what concurrent scheduling models are realistic? This issue is complicated by the intricacies of modern hardware, such as cache coherence protocols and non-uniform memory access (NUMA…”
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Utilizing Parallelism in Smart Contracts on Decentralized Blockchains by Taming Application-Inherent Conflicts by Garamvolgyi, Peter, Liu, Yuxi, Zhou, Dong, Long, Fan, Wu, Ming

“…Traditional public blockchain systems typically had very limited transaction throughput because of the bottleneck of the consensus protocol itself. With recent…”
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Forgive-TM: Supporting Lazy Conflict Detection In Eager Hardware Transactional Memory by Park, Sunjae, Hughes, Christopher J., Prvulovic, Milos

“…Commercial hardware transactional memory (TM) systems commonly use coherence messages to detect data conflicts. When a core inside a transaction receives a…”
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Separating Mechanism from Policy in STM by Sheng, Yaodong, Hassan, Ahmed, Spear, Michael

“…When designing concurrent data structures (CDSs), it can feel like programmers must choose between performance and convenience…”
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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) programming…”
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Hardware Support for Durable Atomic Instructions for Persistent Parallel Programming by Hadi, Khan Shaikhul, Ul Mustafa, Naveed, Heinrich, Mark, Solihin, Yan

“…Persistent memory is emerging as an attractive main memory fabric capable of hosting persistent data. However, its programmability is hampered by the lack of…”
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DRPTM: A Decoupled Read-efficient High-scalable Persistent Transactional Memory by Liang, Wenkai, Hu, Hao, Zou, Xiangyu, Xia, Wen, Pan, Yanqi

“…Persistent transactional memory (PTM) exploits transactions to provide an easy crash-consistent interface for persistent memory (PM). However, because of the…”
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Gacer: Granularity-Aware Concurrency Regulation for Multi-Tenant Deep Learning by Yu, Yongbo, Yu, Fuxun, Tian, Zhi, Chen, Xiang

“…As deep learning continues to advance and is applied to increasingly complex scenarios, the demand for concurrent deployment of multiple neural network models has arisen…”
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HeTM: Transactional Memory for Heterogeneous Systems by Castro, Daniel, Romano, Paolo, Ilic, Aleksandar, Khan, Amin M.

“…Modern heterogeneous computing architectures, which couple multi-core CPUs with discrete many-core GPUs…”
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Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers by Singh, Siddharth, Singhania, Prajwal, Ranjan, Aditya, Kirchenbauer, John, Geiping, Jonas, Wen, Yuxin, Jain, Neel, Hans, Abhimanyu, Shu, Manli, Tomar, Aditya, Goldstein, Tom, Bhatele, Abhinav

“…Training and fine-tuning large language models (LLMs) with hundreds of billions to trillions of parameters requires tens of thousands of GPUs, and a highly…”
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Optimizing Persistent Memory Transactions by Zardoshti, Pantea, Zhou, Tingzhe, Liu, Yujie, Spear, Michael

“… We show how to build concurrent persistent transactional memory from traditional software transactional memories…”
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A Finer-Grained Blocking Analysis for Parallel Real-Time Tasks with Spin-Locks by Chen, Zewei, Lei, Hang, Yang, Maolin, Liao, Yong, Qiao, Lei

“…Real-time synchronization is one of the essential theories in real-time systems, and the recent booming of parallel real-time tasks has brought new challenges…”
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