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Integrated CPU-GPU architecture provides excellent acceleration capabilities for data parallel applications on embedded platforms while meeting the size, weight and power (SWaP) requirements. However, sharing of main memory between CPU…

Performance · Computer Science 2018-04-30 Waqar Ali , Heechul Yun

One of the primary sources of unpredictability in modern multi-core embedded systems is contention over shared memory resources, such as caches, interconnects, and DRAM. Despite significant achievements in the design and analysis of…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-09-18 Ankit Agrawal , Renato Mancuso , Rodolfo Pellizzoni , Gerhard Fohler

Modern commercial-off-the-shelf (COTS) multicore processors have advanced memory hierarchies that enhance memory-level parallelism (MLP), which is crucial for high performance. To support high MLP, shared last-level caches (LLCs) are…

Hardware Architecture · Computer Science 2025-07-23 Connor Sullivan , Alex Manley , Mohammad Alian , Heechul Yun

Modern multicore system-on-chips (SoCs) share off-chip DRAM across cores, where bank-level interference can significantly degrade performance and threaten real-time guarantees. While prior work has focused on per-core bandwidth regulation,…

Hardware Architecture · Computer Science 2026-03-30 Connor Rudy Sullivan , Amin Mamandipoor , Cole Ridge Strickler , Heechul Yun

Multi-port memory controllers (MPMCs) have become increasingly important in many modern applications due to the tremendous growth in bandwidth requirement. Many approaches so far have focused on improving either the memory access latency or…

Hardware Architecture · Computer Science 2018-06-12 Xuan-Thuan Nguyen , Duc-Hung Le , Trong-Tu Bui , Huu-Thuan Huynh , Cong-Kha Pham

Data race conditions in multi-tasking software applications are prevented by serializing access to shared memory resources, ensuring data consistency and deterministic behavior. Traditionally tasks acquire and release locks to synchronize…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-01-24 K. Eric Harper , Thijmen de Gooijer

Multiple applications executing concurrently on a multicore system interfere with each other at different shared resources such as main memory and shared caches. Such inter-application interference, if uncontrolled, results in high system…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-08-14 Lavanya Subramanian

Memory allocation, though constituting only a small portion of the executed code, can have a "butterfly effect" on overall program performance, leading to significant and far-reaching impacts. Despite accounting for just approximately 5% of…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-29 Ruihao Li , Qinzhe Wu , Krishna Kavi , Gayatri Mehta , Jonathan C. Beard , Neeraja J. Yadwadkar , Lizy K. John

Multi-threaded applications are capable of exploiting the full potential of many-core systems. However, Network-on-Chip (NoC) based inter-core communication in many-core systems is responsible for 60-75% of the miss latency experienced by…

Hardware Architecture · Computer Science 2021-01-05 Abhijit Das , John Jose , Prabhat Mishra

Memory bandwidth regulation and cache partitioning are widely used techniques for achieving predictable timing in real-time computing systems. Combined with partitioned scheduling, these methods require careful co-allocation of tasks and…

Optimization and Control · Mathematics 2025-05-20 Binqi Sun , Zhihang Wei , Andrea Bastoni , Debayan Roy , Mirco Theile , Tomasz Kloda , Rodolfo Pellizzoni , Marco Caccamo

Typically, a memory request from a processor may need to go through many intermediate interconnect routers, directory node, owner node, etc before it is finally serviced. Current multiprocessors do not give preference to any particular…

Hardware Architecture · Computer Science 2016-06-21 Sandeep Navada , Anil Krishna

Attacks on the microarchitecture of modern processors have become a practical threat to security and privacy in desktop and cloud computing. Recently, cache attacks have successfully been demonstrated on ARM based mobile devices, suggesting…

Cryptography and Security · Computer Science 2017-03-30 Marc Green , Leandro Rodrigues-Lima , Andreas Zankl , Gorka Irazoqui , Johann Heyszl , Thomas Eisenbarth

Industries are recently considering the adoption of cloud computing for hosting safety critical applications. However, the use of multicore processors usually adopted in the cloud introduces temporal anomalies due to contention for shared…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-30 Giorgio Farina , Gautam Gala , Marcello Cinque , Gerhard Fohler

Graph processing is typically considered to be a memory-bound rather than compute-bound problem. One common line of thought is that more available memory bandwidth corresponds to better graph processing performance. However, in this work we…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-10-10 Oded Green , James Fox , Jeffrey Young , Jun Shirako , David Bader

In high performance computing, researchers try to optimize the CPU Scheduling algorithms, for faster and efficient working of computers. But a process needs both CPU bound and I/O bound for completion of its execution. With modernization of…

Operating Systems · Computer Science 2019-08-06 Amar Ranjan Dash , Sandipta Kumar Sahu , B Kewal

The aim of parallel computing is to increase an application performance by executing the application on multiple processors. OpenMP is an API that supports multi platform shared memory programming model and shared-memory programs are…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-11-12 Vibha Rajput , Alok Katiyar

The main memory access latency has not much improved for more than two decades while the CPU performance had been exponentially increasing until recently. Approximate memory is a technique to reduce the DRAM access latency in return of…

Emerging Technologies · Computer Science 2021-01-27 Soramichi Akiyama , Ryota Shioya

A real-time multicore system requires delay bounds on access to shared resources. These resources include the kernel, which has potentially many non-preemptible critical sections guarded by one or more different synchronization primitives.…

Operating Systems · Computer Science 2026-05-28 Shriram Raja , Richard West

It is often said that one of the biggest limitations on computer performance is memory bandwidth (i.e."the memory wall problem"). In this position paper, I argue that if historical trends in computing evolution (where growth in available…

Operating Systems · Computer Science 2011-05-11 Niall Douglas

Most of the sensor network applications need real time communication and the need for deadline aware real time communication is becoming eminent in these applications. These applications have different dead line requirements also. The real…

Networking and Internet Architecture · Computer Science 2014-12-30 Mary Cherian , T. R. Gopalakrishnan Nair
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