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Storage systems have not kept the same technology improvement rate as computing systems. As applications produce more and more data, I/O becomes the limiting factor for increasing application performance. I/O congestion caused by concurrent…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-03 Hatem Elshazly , Jorge Ejarque , Francesc Lordan , Rosa M. Badia

Poor DRAM technology scaling over the course of many years has caused DRAM-based main memory to increasingly become a larger system bottleneck. A major reason for the bottleneck is that data stored within DRAM must be moved across a…

Hardware Architecture · Computer Science 2018-02-02 Saugata Ghose , Kevin Hsieh , Amirali Boroumand , Rachata Ausavarungnirun , Onur Mutlu

Resource-constrained devices increasingly rely on wireless communication for the reliable and low-latency transmission of short messages. However, especially the implementation of adequate integrity protection of time-critical messages…

Cryptography and Security · Computer Science 2022-05-20 Eric Wagner , Martin Serror , Klaus Wehrle , Martin Henze

Memory disaggregation addresses memory imbalance in a cluster by decoupling CPU and memory allocations of applications while also increasing the effective memory capacity for (memory-intensive) applications beyond the local memory limit…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-02-07 Anil Yelam

RowHammer is a major read disturbance mechanism in DRAM where repeatedly accessing (hammering) a row of DRAM cells (DRAM row) induces bitflips in other physically nearby DRAM rows. RowHammer solutions perform preventive actions (e.g.,…

Deadlocks are a major source of bugs in concurrent programs. They are hard to predict, because they may only occur under specific scheduling conditions. Dynamic analysis attempts to identify potential deadlocks by examining a single…

Programming Languages · Computer Science 2026-05-13 Bas van den Heuvel , Martin Sulzmann , Peter Thiemann

Real-Time systems are essential for promptly responding to external stimuli and completing tasks within predefined time constraints. Ensuring high reliability and robust security in these systems is therefore critical. This requires…

Cryptography and Security · Computer Science 2025-10-07 Eliron Rahimi , Kfir Girstein , Roman Malits , Avi Mendelson

Performance problems are often observed in embedded software systems. The reasons for poor performance are frequently not obvious. Bottlenecks can occur in any of the software components along the execution path. Therefore it is important…

Software Engineering · Computer Science 2007-05-23 Edu Metz , Raimondas Lencevicius

Common implementations of core memory allocation components, like the Linux buddy system, handle concurrent allocation/release requests by synchronizing threads via spin-locks. This approach is clearly not prone to scale with large thread…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-22 Romolo Marotta , Mauro Ianni , Alessandro Pellegrini , Andrea Scarselli , Francesco Quaglia

Context switching is utilized by operating systems to change the execution context between application programs. It involves saving and restoring the states of multiple registers and performing a pipeline flush to remove any pre-fetched…

Cryptography and Security · Computer Science 2025-07-31 Sahan Sanjaya , Aruna Jayasena , Prabhat Mishra

The continued growth of the computational capability of throughput processors has made throughput processors the platform of choice for a wide variety of high performance computing applications. Graphics Processing Units (GPUs) are a prime…

Hardware Architecture · Computer Science 2018-05-01 Rachata Ausavarungnirun

Multi-socket multi-core servers are used for solving some of the important problems in computing. Remote DRAM accesses can impact performance of certain applications running on such servers. This paper presents a new near linear operating…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-08-07 Suryanarayana Murthy Durbhakula

Serverless computing paradigm has become more ingrained into the industry, as it offers a cheap alternative for application development and deployment. This new paradigm has also created new kinds of problems for the developer, who needs to…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-07-14 Gor Safaryan , Anshul Jindal , Mohak Chadha , Michael Gerndt

3D-stacked High Bandwidth Memory (HBM) architectures provide high-performance memory interactions to address the well-known performance challenge, namely the memory wall. However, these architectures are susceptible to thermal…

Hardware Architecture · Computer Science 2025-09-03 Mehdi Elahi , Mohamed R. Elshamy , Abdel-Hameed A. Badawy , Ahmad Patooghy

Disaggregated memory is a promising approach that addresses the limitations of traditional memory architectures by enabling memory to be decoupled from compute nodes and shared across a data center. Cloud platforms have deployed such…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-21 Nan Ding , Pieter Maris , Hai Ah Nam , Taylor Groves , Muaaz Gul Awan , LeAnn Lindsey , Christopher Daley , Oguz Selvitopi , Leonid Oliker , Nicholas Wright , Samuel Williams

In this paper, we propose a new approach to building synchronization primitives, dubbed "lwlocks" (short for light-weight locks). The primitives are optimized for small memory footprint while maintaining efficient performance in low…

Operating Systems · Computer Science 2011-09-14 Nitin Garg , Ed Zhu , Fabiano C. Botelho

Today's systems are overwhelmingly designed to move data to computation. This design choice goes directly against at least three key trends in systems that cause performance, scalability and energy bottlenecks: (1) data access from memory…

Hardware Architecture · Computer Science 2019-03-12 Onur Mutlu , Saugata Ghose , Juan Gómez-Luna , Rachata Ausavarungnirun

Scheduling policies for real-time systems exhibit threshold behavior that is related to the utilization of the task set they schedule, and in some cases this threshold is sharp. For the rate monotonic scheduling policy, we show that…

Performance · Computer Science 2009-12-22 Sathish Gopalakrishnan

Memory controller scheduling is crucial in multicore processors, where DRAM bandwidth is shared. Since increased number of requests from multiple cores of processors becomes a source of bottleneck, scheduling the requests efficiently is…

Hardware Architecture · Computer Science 2019-07-19 Eduardo Olmedo Sanchez , Xian-He Sun

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