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This paper presents a novel meta algorithm, Partition-Merge (PM), which takes existing centralized algorithms for graph computation and makes them distributed and faster. In a nutshell, PM divides the graph into small subgraphs using our…

Data Structures and Algorithms · Computer Science 2013-09-25 Vincent Blondel , Kyomin Jung , Pushmeet Kohli , Devavrat Shah

Unlike non-volatile memory that resides on the processor memory bus, memory-semantic solid-state drives (SSDs) support both byte and block access granularity via PCIe or CXL interconnects. They provide scalable memory capacity using NAND…

Operating Systems · Computer Science 2025-01-10 Shaobo Li , Yirui Eric Zhou , Hao Ren , Jian Huang

Emerging high-performance storage technologies are opening up the possibility of designing new distributed data acquisition system architectures, in which the live acquisition of data and their processing are decoupled through a storage…

Instrumentation and Detectors · Physics 2020-11-04 Adam Abed Abud , Giovanna Lehmann , Roland Sipos

Software managed byte-addressable hybrid memory systems consisting of DRAMs and NVMMs offer a lot of flexibility to design efficient large scale data processing applications. Operating systems (OS) play an important role in enabling the…

Operating Systems · Computer Science 2023-10-06 Shivank Garg , Aravinda Prasad , Debadatta Mishra , Sreenivas Subramoney

As transistor-based memory technologies like dynamic random access memory (DRAM) approach their scalability limits, the need to explore alternative storage solutions becomes increasingly urgent. Phase-change memory (PCM) has gained…

Hardware Architecture · Computer Science 2025-12-02 Mahek Desai , Rowena Quinn , Marjan Asadinia

High-performance object stores are an emerging technology which offers an alternative solution in the field of HPC storage, with potential to address long-standing scalability issues in traditional distributed POSIX file systems due to…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-18 Nicolau Manubens , Simon D. Smart , Tiago Quintino , Adrian Jackson

Ever since the Dennard scaling broke down in the early 2000s and the frequency of the CPUs stalled, vendors have started to increase the core count in each CPU chip at the expense of introducing heterogeneity, thus ushering the era of NUMA…

Databases · Computer Science 2026-01-22 Yeasir Rayhan , Walid G. Aref

The parallel and distributed processing are becoming de facto industry standard, and a large part of the current research is targeted on how to make computing scalable and distributed, dynamically, without allocating the resources on…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-10 Rajendra Purohit , K R Chowdhary , S D Purohit

Memory persistency models provide a foundation for persistent programming by specifying which (and when) writes to non-volatile memory (NVM) become persistent. Memory persistency models for the Intel-x86 and Arm architectures have been…

Programming Languages · Computer Science 2024-05-30 Vasileios Klimis , Alastair F. Donaldson , Viktor Vafeiadis , John Wickerson , Azalea Raad

For large scale distributed storage systems, flash memories are an excellent choice because flash memories consume less power, take lesser floor space for a target throughput and provide faster access to data. In a traditional distributed…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-02-26 Srimugunthan , K. Gopinath

To estimate multiple-input multiple-output (MIMO) channels, invariable step-size normalized least mean square (ISSNLMS) algorithm was applied to adaptive channel estimation (ACE). Since the MIMO channel is often described by sparse channel…

Information Theory · Computer Science 2013-11-07 Guan Gui , Shinya kumagai , Fumiyuki Adachi

Resilience is a major design goal for HPC. Checkpoint is the most common method to enable resilient HPC. Checkpoint periodically saves critical data objects to non-volatile storage to enable data persistence. However, using checkpoint, we…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-03 Yingchao Huang , Kai Wu , Dong Li

Bit-serial Processing-In-Memory (PIM) is an attractive paradigm for accelerator architectures, for parallel workloads such as Deep Learning (DL), because of its capability to achieve massive data parallelism at a low area overhead and…

Hardware Architecture · Computer Science 2023-11-21 Aman Arora , Jian Weng , Siyuan Ma , Tony Nowatzki , Lizy K. John

Non-volatile memory (NVM) provides a scalable and power-efficient solution to replace DRAM as main memory. However, because of relatively high latency and low bandwidth of NVM, NVM is often paired with DRAM to build a heterogeneous memory…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-05-03 Kai Wu , Yingchao Huang , Dong Li

Persistent Memory (PMEM), also known as Non-Volatile Memory (NVM), can deliver higher density and lower cost per bit when compared with DRAM. Its main drawback is that it is typically slower than DRAM. On the other hand, DRAM has…

Machine Learning · Computer Science 2022-11-07 Diego Moura , Vinicius Petrucci , Daniel Mosse

With the imminent slowing down of DRAM scaling, Phase Change Memory (PCM) is emerging as a lead alternative for main memory technology. While PCM achieves low energy due to various technology-specific advantages, PCM is significantly slower…

Hardware Architecture · Computer Science 2015-04-17 Hamza Bin Sohail , Balajee Vamanan , T. N. Vijaykumar

Modern operating systems are typically POSIX-compliant with major system calls specified decades ago. The next generation of non-volatile memory (NVM) technologies raise concerns about the efficiency of the traditional POSIX-based systems.…

Operating Systems · Computer Science 2019-03-12 Viacheslav Dubeyko , Om Rameshwar Gatla , Mai Zheng

Modern Operating Systems are typically POSIX-compliant. The system calls are the fundamental layer of interaction between user-space applications and the OS kernel and its implementation of fundamental abstractions and primitives used in…

Operating Systems · Computer Science 2017-12-25 Vyacheslav Dubeyko , Cyril Guyot , Luis Cargnini , Adam Manzanares

It is widely acknowledged that the performance of Transformer models is logarithmically related to their number of parameters and computational complexity. While approaches like Mixture of Experts (MoE) decouple parameter count from…

Machine Learning · Computer Science 2025-02-07 Zihao Huang , Qiyang Min , Hongzhi Huang , Defa Zhu , Yutao Zeng , Ran Guo , Xun Zhou

The emergence of high-density byte-addressable non-volatile memory (NVM) is promising to accelerate data- and compute-intensive applications. Current NVM technologies have lower performance than DRAM and, thus, are often paired with DRAM in…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-08-17 Ivy Peng , Kai Wu , Jie Ren , Dong Li , Maya Gokhale