Scalable multi-access flash store for big data analytics by Jun, Sang-Woo, Liu, Ming, Fleming, Kermin Elliott, Arvind, Arvind

“…In this paper we examine an architecture for a scalable distributed flash store which aims to overcome this limitation in two ways. …”
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Efficient Sanitization Design for LSM-based Key-Value Store over 3D MLC NAND Flash by Chen, Liang-Chi, Yu, Shu-Qi, Ho, Chien-Chung, Wang, Wei-Chen, Li, Yung-Chun

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Fully automated analysis of OCT imaging of human kidneys for prediction of post-transplant function by Konkel, Brandon, Lavin, Christopher, Wu, Tong Tong, Anderson, Erik, Iwamoto, Aya, Rashid, Hadi, Gaitian, Brandon, Boone, Joseph, Cooper, Matthew, Abrams, Peter, Gilbert, Alexander, Tang, Qinggong, Levi, Moshe, Fujimoto, James G, Andrews, Peter, Chen, Yu

“…This study included kidneys from live and deceased donors. 88 deceased donor kidneys in this study were stored by static cold storage (SCS) and an additional 15 were preserved by hypothermic machine perfusion (HMP). …”
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Coding for locality in reconstructing permutations by Raviv, Netanel, Yaakobi, Eitan, Medard, Muriel

“…The problem of storing permutations in a distributed manner arises in several common scenarios, such as efficient updates of a large, encrypted, or compressed data set. …”
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Reliable and efficient PUF-based key generation using pattern matching by Paral, Zdenek (Sid), Devadas, Srinivas

“…The method reveals only relatively short PUF output data in public store, thwarting opportunities for modeling attacks. …”
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Rambo: a robust, reconfigurable atomic memory service for dynamic networks by Gilbert, Seth, Lynch, Nancy Ann, Shvartsman, Alexander A.

“…Even so, Rambo ensures that data stored in the distributed shared memory remains available and consistent. …”
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Real-Time Extraction and Analysis of Key Morphological Features in the Electrocardiogram, for Data Compression and Clinical Decision Support by Gordhandas, Ankit, Heldt, Thomas, Verghese, George C.

“…An exponentially-weighted sliding average of the identified morphological features over the preceding twenty beats is also stored. Whenever any feature deviates significantly from its stored weighted average, the algorithm registers an alarm and also retains the raw ECG data of the 5 beats immediately preceding and following the anomalous occurrence, for a later review by a clinician.…”
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External Sampling by Andoni, Alexandr, Indyk, Piotr, Onak, Krzysztof, Rubinfeld, Ronitt

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Heralded Single-Magnon Quantum Memory for Photon Polarization States by Simon, Jonathan, Ghosh, Saikat, Vuletic, Vladan, Bloom, Benjamin, Tanji, Haruka

“…The process can be viewed as a nondestructive quantum probe where a photon is detected, stored, and regenerated without touching its—potentially undetermined—polarization.…”
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Energy Storage for Use in Load Frequency Control by Leitermann, Olivia, Kirtley, James L., Jr.

“…Certain energy storage technologies are well-suited to the high-frequency, high-cycling operation which is required in provision of load frequency control (LFC). To limit the total stored energy capacity required while reducing the cycling burden on traditional thermal generators, the LFC signal may be split between thermal generators and energy storage units. …”
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Towards microfluidic-based depletion of stiff and fragile human red cells that accumulate during blood storage by Huang, Sha, Hou, Han Wei, Kanias, Tamir, Sertorio, Jonas Tadeu, Chen, Huichao, Sinchar, Derek, Gladwin, Mark T., Han, Jongyoon

“…A deformability-based microfluidic cell sorting technology was applied, which demonstrates the ability to enrich and separate the less deformable subpopulations of stored blood. These less deformable RBC subpopulations were then associated with other important markers such as osmotic fragility indicating cell integrity as well as microparticle content. …”
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ATLANTIC: making database differentially private and faster with accuracy guarantee by Cao, Lei, Xiao, Dongqing, Yan, Yizhou, Madden, Samuel, Li, Guoliang

“…Because the private data is often stored in the form of relational database that supports SQL queries, making SQL-based analytics differentially private is thus critical. …”
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A Secure Digital In-Memory Compute (IMC) Macro with Protections for Side-Channel and Bus Probing Attacks by Ashok, Maitreyi, Maji, Saurav, Zhang, Xin, Cohn, John, Chandrakasan, Anantha P.

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An energy management IC for bio-implants using ultracapacitors for energy storage by Sanchez, William R., Sodini, Charles G., Dawson, Joel L.

“…The stacking procedure allows for more than 98% of the initial energy stored in the capacitors to be removed before the output voltage drops unsuitably low. …”
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File updates under random/arbitrary insertions and deletions by Wang, Qiwen, Cadambe, Viveck, Jaggi, Sidharth, Schwartz, Moshe, Medard, Muriel

“…An old copy of the file is stored remotely at a data-centre/decoder, and is also available to the client. …”
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Predicting Motivations of Actions by Leveraging Text by Pirsiavash, Hamed, Vondrick, Carl Martin, Oktay, Deniz, Torralba, Antonio

“…Since humans can rely on their lifetime of experiences to infer motivation, we propose to give computer vision systems access to some of these experiences by using recently developed natural language models to mine knowledge stored in massive amounts of text. While we are still far away from fully understanding motivation, our results suggest that transferring knowledge from language into vision can help machines understand why people in images might be performing an action.…”
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Trusted Storage over Untrusted Networks by Oliveria, Paulo F., Lima, Luísa, Vinhoza, Tiago T. V., Barros, Joao, Medard, Muriel

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A 3.4-pJ FeRAM-Enabled D Flip-Flop in 0.13-µm CMOS for Nonvolatile Processing in Digital Systems by Qazi, Masood, Amerasekera, Ajith, Chandrakasan, Anantha P.

“…In order to realize a digital system with no distinction between “on” and “off,” the computational state must be stored in nonvolatile memory elements. If the energy cost and time cost of managing the computational state in nonvolatile memory can be lowered to the microsecond and picojoule-per-bit level, such a system could operate from unreliable harvested energy, never requiring a reboot. …”
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File Updates Under Random/Arbitrary Insertions And Deletions by Wang, Qiwen, Jaggi, Sidharth, Medard, Muriel, Cadambe, Viveck R, Schwartz, Moshe

“…An old copy of the file is stored remotely at a data-centre, and is also available to the client. …”
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Iceberg Hashing: Optimizing Many Hash-Table Criteria at Once by Bender, Michael, Conway, Alex, Farach-Colton, Martin, Kuszmaul, William, Tagliavini, Guido

“…Iceberg hashing is also the first hash table to support a load factor of up to $1 - o(1)$ while being stable, meaning that the position where an element is stored only ever changes when resizes occur. In fact, in the setting where keys are $\Theta(\log n)$ bits, the space guarantees that Iceberg hashing offers, namely that is uses at most $\log \binom{|U|}{n} + O(n \log \log n)$ bits to store $n$ items from a universe $U$, matches a lower bound by Demaine et al. that applies to any stable hash table. …”
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