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Related papers: Towards Practical Oblivious RAM

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Dynamic Random Access Memory (DRAM) is the prevalent memory technology used to build main memory systems of almost all computers. A fundamental shortcoming of DRAM is the need to refresh memory cells to keep stored data intact. DRAM refresh…

Hardware Architecture · Computer Science 2023-06-29 Onur Mutlu

Deconvolution has been widespread in neural networks. For example, it is essential for performing unsupervised learning in generative adversarial networks or constructing fully convolutional networks for semantic segmentation. Resistive RAM…

Emerging Technologies · Computer Science 2019-07-09 Zichen Fan , Ziru Li , Bing Li , Yiran Chen , Hai , Li

Emerging applications of control, estimation, and machine learning, ranging from target tracking to decentralized model fitting, pose resource constraints that limit which of the available sensors, actuators, or data can be simultaneously…

Optimization and Control · Mathematics 2020-12-15 Vasileios Tzoumas , Ali Jadbabaie , George J. Pappas

Write-Only Oblivious RAM (WoORAM) protocols provide privacy by encrypting the contents of data and also hiding the pattern of write operations over that data. WoORAMs provide better privacy than plain encryption and better performance than…

Cryptography and Security · Computer Science 2017-09-08 Daniel S. Roche , Adam J. Aviv , Seung Geol Choi , Travis Mayberry

The space-requirement for routing-tables is an important characteristic of routing schemes. For the cost-measure of minimizing the total network load there exist a variety of results that show tradeoffs between stretch and required size for…

Networking and Internet Architecture · Computer Science 2021-01-12 Philipp Czerner , Harald Räcke

A framework is proposed for the design and analysis of \emph{network-oblivious algorithms}, namely, algorithms that can run unchanged, yet efficiently, on a variety of machines characterized by different degrees of parallelism and…

Data Structures and Algorithms · Computer Science 2014-04-15 Gianfranco Bilardi , Andrea Pietracaprina , Geppino Pucci , Michele Scquizzato , Francesco Silvestri

Graphics Processing Units (GPUs) leverage massive parallelism and large memory bandwidth to support high-performance computing applications, such as multimedia rendering, crypto-mining, deep learning, and natural language processing. These…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-11 Nurlan Nazaraliyev , Elaheh Sadredini , Nael Abu-Ghazaleh

As the gap between compute and I/O performance tends to grow, modern High-Performance Computing (HPC) architectures include a new resource type: an intermediate persistent fast memory layer, called burst buffers. This is just one of many…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-01 Adrian Naruszko , Bartłomiej Przybylski , Krzysztof Rzadca

Current and emerging trends such as cloud computing, fog computing, and more recently, multi-access edge computing (MEC) increase the interest in finding solutions to the verifiable computation problem. Furthermore, the number of…

Cryptography and Security · Computer Science 2018-09-13 Tahsin Civan Mert Dönmez

It is well known that encryption alone is not enough to protect data privacy. Access patterns, revealed when operations are performed, can also be leveraged in inference attacks. Oblivious RAM (ORAM) hides access patterns by making client…

Cryptography and Security · Computer Science 2025-12-30 Robin Vassantlal , Hasan Heydari , Bernardo Ferreira , Alysson Bessani

We construct deletion error-correcting codes in the oblivious model, where errors are adversarial but oblivious to the encoder's randomness. Oblivious errors bridge the gap between the adversarial and random error models, and are motivated…

Information Theory · Computer Science 2025-06-24 Roni Con , Ray Li

We propose a conceptually simple oblivious sort and oblivious random permutation algorithms called bucket oblivious sort and bucket oblivious random permutation. Bucket oblivious sort uses $6n\log n$ time (measured by the number of memory…

Data Structures and Algorithms · Computer Science 2021-04-30 Gilad Asharov , T-H. Hubert Chan , Kartik Nayak , Rafael Pass , Ling Ren , Elaine Shi

Conventional computing paradigm struggles to fulfill the rapidly growing demands from emerging applications, especially those for machine intelligence, because much of the power and energy is consumed by constant data transfers between…

We give a more space-efficient implementation of adaptive mergesort: Virtual-Memory Powersort. Using internal buffering techniques, we significantly reduce the memory consumption of the algorithm; specifically, for sorting $n$ objects the…

Data Structures and Algorithms · Computer Science 2026-05-27 Finn Moltmann , Tamio-Vesa Nakajima , Sebastian Wild

In this paper, we present a fast, on-line mapping and planning solution for operation in unknown, off-road, environments. We combine obstacle detection along with a terrain gradient map to make simple and adaptable cost map. This map can be…

Robotics · Computer Science 2019-10-21 Timothy Overbye , Srikanth Saripalli

Quantum Random Access Memory (qRAM) is an essential computing element for running oracle-based quantum algorithms. qRAM exploits quantum superposition to access all data stored in the memory cells simultaneously and guarantees the superior…

Quantum Physics · Physics 2025-12-18 Dongmin Kim , Sengthai Heng , Sanghyeon Lee , Youngsun Han

To support emerging applications ranging from holographic communications to extended reality, next-generation mobile wireless communication systems require ultra-fast and energy-efficient baseband processors. Traditional complementary…

Signal Processing · Electrical Eng. & Systems 2023-08-22 Qunsong Zeng , Jiawei Liu , Mingrui Jiang , Jun Lan , Yi Gong , Zhongrui Wang , Yida Li , Can Li , Jim Ignowski , Kaibin Huang

The packet routing problem asks to select routing paths that minimize the maximum edge congestion for a set of packets specified by source-destination vertex pairs. We revisit a semi-oblivious approach to this problem: each…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-15 Goran Zuzic , Bernhard Haeupler , Antti Roeyskoe

The inversion of extremely high order matrices has been a challenging task because of the limited processing and memory capacity of conventional computers. In a scenario in which the data does not fit in memory, it is worth to consider…

Numerical Analysis · Mathematics 2018-05-08 Iria C. S. Cosme , Isaac F. Fernandes , João L. de Carvalho , Samuel Xavier-de-Souza

Non-Volatile Random Access Memory (NVRAM) is a novel type of hardware that combines the benefits of traditional persistent memory (persistency of data over hardware failures) and DRAM (fast random access). In this work, we describe an…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-05-26 Vitaly Aksenov , Ohad Ben-Baruch , Danny Hendler , Ilya Kokorin , Matan Rusanovsky