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Related papers: Reuse Cache for Heterogeneous CPU-GPU Systems

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Recently, 3D SSDs are widely adopted in PCs, data centers, and cloud storage systems. To increase capacity, high bit-density cells, such as Triple-Level Cell (TLC), are utilized within 3D SSDs. However, due to the inferior performance of…

Hardware Architecture · Computer Science 2024-10-15 Xufeng Yang , Zhengjian Cong , Congming Gao

Recent advancements in Large Language Models (LLMs) have led to increasingly diverse requests, accompanied with varying resource (compute and memory) demands to serve them. However, this in turn degrades the cost-efficiency of LLM serving…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-06 Youhe Jiang , Fangcheng Fu , Xiaozhe Yao , Guoliang He , Xupeng Miao , Ana Klimovic , Bin Cui , Binhang Yuan , Eiko Yoneki

With the skyrocketing costs of GPUs and their virtual instances in the cloud, there is a significant desire to use CPUs for large language model (LLM) inference. KV cache update, often implemented as allocation, copying, and in-place…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-18 Arun Ramachandran , Ramaswamy Govindarajan , Murali Annavaram , Prakash Raghavendra , Hossein Entezari Zarch , Lei Gao , Chaoyi Jiang

Spin-Transfer Torque RAM (STT-RAM) is widely considered a promising alternative to SRAM in the memory hierarchy due to STT-RAM's non-volatility, low leakage power, high density, and fast read speed. The STT-RAM's small feature size is…

Hardware Architecture · Computer Science 2019-08-12 Kyle Kuan , Tosiron Adegbija

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

Many high end and next generation computing systems to incorporated alternative memory technologies to meet performance goals. Since these technologies present distinct advantages and tradeoffs compared to conventional DDR* SDRAM, such as…

Performance · Computer Science 2021-10-06 M. Ben Olson , Brandon Kammerdiener , Kshitij A. Doshi , Terry Jones , Michael R. Jantz

Over the last three decades, innovations in the memory subsystem were primarily targeted at overcoming the data movement bottleneck. In this paper, we focus on a specific market trend in memory technology: 3D-stacked memory and caches. We…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-17 Jens Domke , Emil Vatai , Balazs Gerofi , Yuetsu Kodama , Mohamed Wahib , Artur Podobas , Sparsh Mittal , Miquel Pericàs , Lingqi Zhang , Peng Chen , Aleksandr Drozd , Satoshi Matsuoka

Due to increasing cache sizes and large leakage consumption of SRAM device, conventional SRAM caches contribute significantly to the processor power consumption. Recently researchers have used non-volatile memory devices to design caches,…

Hardware Architecture · Computer Science 2014-05-01 Sparsh Mittal

Applications that exploit the architectural details of high-performance computing (HPC) systems have become increasingly invaluable in academia and industry over the past two decades. The most important hardware development of the last…

Mathematical Software · Computer Science 2020-05-15 Daniel J. Magee , Anthony S. Walker , Kyle E. Niemeyer

Bandwidth-starved multicore chips have become ubiquitous. It is well known that the performance of stencil codes can be improved by temporal blocking, lessening the pressure on the memory interface. We introduce a new pipelined approach…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-17 Markus Wittmann , Georg Hager , Jan Treibig , Gerhard Wellein

The exponential growth of data necessitates distributed storage models, such as peer-to-peer systems and data federations. While distributed storage can reduce costs and increase reliability, the heterogeneity in storage capacity, I/O…

Structured Cartesian grids are a fundamental component in numerical simulations. Although these grids facilitate straightforward discretization schemes, their na\"{i}ve use in sparse domains leads to excessive memory overhead and…

Computational Engineering, Finance, and Science · Computer Science 2025-12-15 Fan Gu , Xiangyu Hu

Caches have become the prime method for unintended information extraction across logical isolation boundaries. Even Spectre and Meltdown rely on the cache side channel, as it provides great resolution and is widely available on all major…

Cryptography and Security · Computer Science 2019-04-15 Samira Briongos , Pedro Malagón , José M. Moya , Thomas Eisenbarth

Meeting the strict Quality of Service (QoS) requirements of terminals has imposed a signiffcant challenge on Multiaccess Edge Computing (MEC) systems, due to the limited multidimensional resources. To address this challenge, we propose a…

Networking and Internet Architecture · Computer Science 2024-04-29 Qianqian Liu , Haixia Zhang , Xin Zhang , Dongfeng Yuan

Graphics Processing Units (GPUs) employ large register files to accommodate all active threads and accelerate context switching. Unfortunately, register files are a scalability bottleneck for future GPUs due to long access latency, high…

While the computing landscape supporting LHC experiments is currently dominated by x86 processors at WLCG sites, this configuration will evolve in the coming years. LHC collaborations will be increasingly employing HPC and Cloud facilities…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-24 Antonio Perez-Calero Yzquierdo , Marco Mascheroni , Edita Kizinevic , Farrukh Aftab Khan , Hyunwoo Kim , Maria Acosta Flechas , Nikos Tsipinakis , Saqib Haleem

Retrieval-augmented generation (RAG) has been extensively used as a de facto paradigm in various large language model (LLM)-driven applications on mobile devices, such as mobile assistants leveraging personal emails or meeting records.…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-21 Kaiwei Liu , Liekang Zeng , Lilin Xu , Bufang Yang , Zhenyu Yan

In order to improve system performance efficiently, a number of systems choose to equip multi-core and many-core processors (such as GPUs). Due to their discrete memory these heterogeneous architectures comprise a distributed system within…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-02-27 Hao Wu , Daniel Lohmann , Wolfgang Schröder-Preikschat

In recent processor development, we have witnessed the integration of GPU and CPUs into a single chip. The result of this integration is a reduction of the data communication overheads. This enables an efficient collaboration of both…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-08-07 Francisco Corbera , Andrés Rodríguez , Rafael Asenjo , Angeles Navarro , Antonio Vilches , María J. Garzarán

To recover simultaneous multiple failures in erasure coded storage systems, Patrick Lee et al introduce concurrent repair based minimal storage regenerating codes to reduce repair traffic. The architecture of this approach is simpler and…

Information Theory · Computer Science 2016-04-25 Huayu Zhang , Hui Li , Hanxu Hou , K. W. Shum , ShuoYen Robert Li
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