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Throughput-oriented computing via co-running multiple applications in the same machine has been widely adopted to achieve high hardware utilization and energy saving on modern supercomputers and data centers. However, efficiently co-running…

Performance · Computer Science 2023-03-29 Hao Xu , Shuang Song , Ze Mao

Mapping applications onto heterogeneous platforms is a difficult challenge, even for simple application patterns such as pipeline graphs. The problem is even more complex when processors are subject to failure during the execution of the…

Distributed, Parallel, and Cluster Computing · Computer Science 2008-03-26 Anne Benoit , Veronika Rehn-Sonigo , Yves Robert

A processor's memory hierarchy has a major impact on the performance of running code. However, computing platforms, where the actual hardware characteristics are hidden from both the end user and the tools that mediate execution, such as a…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-07-10 Keith Cooper , Xiaoran Xu

Kernel traces are sequences of low-level events comprising a name and multiple arguments, including a timestamp, a process id, and a return value, depending on the event. Their analysis helps uncover intrusions, identify bugs, and find…

Machine Learning · Computer Science 2021-03-15 Quentin Fournier , Daniel Aloise , Seyed Vahid Azhari , François Tetreault

Locks have been widely used as an effective synchronization mechanism among processes and threads. However, we observe that a large number of false inter-thread dependencies (i.e., unnecessary lock contentions) exist during the program…

Programming Languages · Computer Science 2015-04-22 Long Zheng , Xiaofei Liao , Bingsheng He , Song Wu , Hai Jin

This paper addresses the challenge of understanding the waiting dependencies between the threads and hardware resources required to complete a task. The objective is to improve software performance by detecting the underlying bottlenecks…

Software Engineering · Computer Science 2021-03-09 Naser Ezzati-Jivan , Quentin Fournier , Michel R. Dagenais , Abdelwahab Hamou-Lhadj

To accelerate CNN inference, existing deep learning frameworks focus on optimizing intra-operator parallelization. However, a single operator can no longer fully utilize the available parallelism given the rapid advances in high-performance…

Machine Learning · Computer Science 2021-03-09 Yaoyao Ding , Ligeng Zhu , Zhihao Jia , Gennady Pekhimenko , Song Han

Software-driven O-RAN architectures enable rapid innovation through frequent, independent updates to virtualized components. However, attributing performance variations to specific software changes is challenging due to the stochastic…

Networking and Internet Architecture · Computer Science 2026-04-28 Ravis Shirkhani , Reshma Prasad , Leonardo Bonati , Tommaso Melodia , Michele Polese

As more and more multi-tier services are developed from commercial off-the-shelf components or heterogeneous middleware without source code available, both developers and administrators need a request tracing tool to (1) exactly know how a…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-07-26 Bo Sang , Jianfeng Zhan , Zhihong Zhang , Lei Wang , Dongyan Xu , Yabing Huang , Dan Meng

The execution of similar units can be compared by their internal behaviors to determine the causes of their potential performance issues. For instance, by examining the internal behaviors of different fast or slow web requests more closely…

Machine Learning · Computer Science 2021-03-09 Quentin Fournier , Naser Ezzati-Jivan , Daniel Aloise , Michel R. Dagenais

IOHprofiler is a new tool for analyzing and comparing iterative optimization heuristics. Given as input algorithms and problems written in C or Python, it provides as output a statistical evaluation of the algorithms' performance by means…

Neural and Evolutionary Computing · Computer Science 2018-10-15 Carola Doerr , Hao Wang , Furong Ye , Sander van Rijn , Thomas Bäck

Modern software packages have become increasingly complex with millions of lines of code and references to many external libraries. Redundant operations are a common performance limiter in these code bases. Missed compiler optimization…

Performance · Computer Science 2019-02-15 Pengfei Su , Shasha Wen , Hailong Yang , Milind Chabbi , Xu Liu

Monitoring the performance of large shared computing systems such as the cloud computing infrastructure raises many challenging algorithmic problems. One common problem is to track users with the largest deviation from the norm (outliers),…

Databases · Computer Science 2009-07-20 Chiranjeeb Buragohain , Luca Foschini , Subhash Suri

Code agents are advancing rapidly, but debugging them is becoming increasingly difficult. As frameworks orchestrate parallel tool calls and multi-stage workflows over complex tasks, making the agent's state transitions and error propagation…

Querying graph data with low latency is an important requirement in application domains such as social networks and knowledge graphs. Graph queries perform multiple hops between vertices. When data is partitioned and stored across multiple…

Databases · Computer Science 2022-12-21 Nathan Ng , Hung Le , Marco Serafini

High-speed RDMA networks are getting rapidly adopted in the industry for their low latency and reduced CPU overheads. To verify that RDMA can be used in production, system administrators need to understand the set of application workloads…

Networking and Internet Architecture · Computer Science 2023-04-25 Xinhao Kong , Yibo Zhu , Huaping Zhou , Zhuo Jiang , Jianxi Ye , Chuanxiong Guo , Danyang Zhuo

The reasoning capabilities of the recent LLMs enable them to execute external function calls to overcome their inherent limitations, such as knowledge cutoffs, poor arithmetic skills, or lack of access to private data. This development has…

Computation and Language · Computer Science 2024-06-06 Sehoon Kim , Suhong Moon , Ryan Tabrizi , Nicholas Lee , Michael W. Mahoney , Kurt Keutzer , Amir Gholami

As the complexity of the HPC storage stack rapidly grows, domain scientists face increasing challenges in effectively utilizing HPC storage systems to achieve their desired I/O performance. To identify and address I/O issues, scientists…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-03-02 Chris Egersdoerfer , Arnav Sareen , Jean Luca Bez , Suren Byna , Dongkuan Xu , Dong Dai

This paper presents a approach for measuring the time spent by HPC applications in the operating system's kernel. We use the SystemTap interface to insert timers before and after system calls, and take advantage of its stability to design a…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-04-25 Camille Coti , Kevin Huck , Allen D. Malony

Network performance can be a prime concern for network administrators. The performance of the network depends on many factors. Some of the issues faced in the network performance are Slow Internet, Bottlenecks, Loss of packets and…

Networking and Internet Architecture · Computer Science 2023-02-08 Ruchi Tuli