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How to Handle Rainbow Tables with External Memory [chapter]

Gildas Avoine, Xavier Carpent, Barbara Kordy, Florent Tardif
2017 Lecture Notes in Computer Science  
In this paper, we consider the rainbow tables -the most widely spread version of time-memory trade-offs.  ...  The objective of our work is to analyze the relevance of storing the precomputed data on an external memory (SSD and HDD) possibly mingled with an internal one (RAM).  ...  Storing rainbow tables in an external memory has been ignored up to now because this approach was considered impractical with mechanical hard disk drives (HDD).  ... 
doi:10.1007/978-3-319-60055-0_16 fatcat:ymnf576irfeqjhk654ptxea2ba

Rainbow: A Composable Coherence Protocol for Multi-Chip Servers [article]

Lucia G. Menezo, Valentin Puente, Jose A. Gregorio
2020 arXiv   pre-print
Our proposal is able to improve on the performance of a HyperTransport-like coherence protocol by from 25%-to-60%.  ...  The use of multi-chip modules (MCM) and/or multi-socket boards is the most suitable approach to increase the computation density of servers while keep chip yield attained.  ...  However, the external invalidations in HTA induce many extra memory accesses, consequently the contribution of the memory is much greater than in Rainbow.  ... 
arXiv:2002.03944v1 fatcat:wfk2htl7efcutmmgg2kacqpp5e

Rainbow: Efficient memory dependence recording with high replay parallelism for relaxed memory model

Xuehai Qian, He Huang, B. Sahelices, Depei Qian
2013 2013 IEEE 19th International Symposium on High Performance Computer Architecture (HPCA)  
Our simulation results with 10 SPLASH-2 benchmarks show that Rainbow reduces the log size by 26.6% and improves replay speed by 26.8% compared to Strata.  ...  Among the large body of previous works, Strata enables efficient memory dependence recording with little hardware overhead and can be applied smoothly to snoopy protocols.  ...  We first try to understand the issues, then propose the solution to handle out-of-order memory operations in a machine with SC and relaxed memory model.  ... 
doi:10.1109/hpca.2013.6522349 dblp:conf/hpca/QianHSQ13 fatcat:aqoz64wofrf5tjayr5v2ayskfu

Hot RAD: A Tool for Analysis of Next-Gen RAD Tag Data [article]

Lauren A. Assour, Nicholas LaRosa, Scott J. Emrich
2015 arXiv   pre-print
This can be applied to a non-model organism without a reference genome, though this creates the problem of how to begin data analysis on unmapped and unannotated reads.  ...  The GUI (graphical user interface) element of our tool makes it easy for those not familiar with the command line to take raw sequence files and produce usable data in a timely manner.  ...  Table 1 : 1 RUN TIMES OF HOT RAD WITH DIFFERING FILTERS NOTE: BP Count refers to counting the occurrence of each base.  ... 
arXiv:1511.06754v1 fatcat:mehhkbrfijcbhdil6w2uggd4cy

Self-adaptive system development method for smart control systems in CPS

In-geol Chun, Jeong-min Park, Won-tae Kim
2014 16th International Conference on Advanced Communication Technology  
The human desire to develop high reactive, safety, precise and convenient control system makes smart machinery equipped with computing elements appear on the scene.  ...  However the operating environment of home service robots -like house, yard, garage, and so on -has much uncertainty and uncontrollable conditions, so that it is impossible to make robots suitable to all  ...  name : SWUpdate, Action : Update current SW to new SW, Type : External}).  ... 
doi:10.1109/icact.2014.6779039 fatcat:sneviulwkna6lb2oimtrsiutcq

AIM 2020 Challenge on Image Extreme Inpainting [article]

Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte
2020 arXiv   pre-print
Similarly, the goal of track 2 is to inpaint the image by having access to the entire semantic segmentation map of the image to inpaint.  ...  The goal of track 1 is to inpaint considerably large part of the image using no supervision but the context.  ...  Handling of extreme image sizes Many of the participants reported that their solution could not handle highresolution images without prompting an our of memory error (OOM).  ... 
arXiv:2010.01110v1 fatcat:sple2mqkkzh2nfz527vqr6c3oi

Is humane slaughtering of rainbow trout achieved in conventional production chains in Germany? Results of a pilot field and laboratory study

Verena Jung-Schroers, Uta Hildebrandt, Karina Retter, Karl-Heinz Esser, John Hellmann, Dirk Willem Kleingeld, Karl Rohn, Dieter Steinhagen
2020 BMC Veterinary Research  
The overall objective of this study was to monitor how stunning interventions were integrated into the production chains of German conventional trout aquaculture in order to safeguard animal welfare during  ...  The laboratory study confirmed that the absence of brainstem/ behavioural indicators correlated with the absence of visually evoked responses (VER) of the brain to light stimuli as a neuronal indicator  ...  During the pre-slaughter process, also the handling of rainbow trout differed largely between farms.  ... 
doi:10.1186/s12917-020-02412-5 pmid:32539725 pmcid:PMC7296641 fatcat:hmmhcgvr45gwnbcmk6lrmij2ia

Incorporating architecture-based self-adaptation into an adaptive industrial software system

Javier Cámara, Pedro Correia, Rogério de Lemos, David Garlan, Pedro Gomes, Bradley Schmerl, Rafael Ventura
2016 Journal of Systems and Software  
This has allowed us to assess the development costs associated with the reengineering of adaptive mechanisms when using an ABSA solution, and to make effective comparisons, in terms of operational performance  ...  In this paper, we report on our experience applying an ABSA framework (Rainbow) to a large-scale commercial software system, called Data Acquisition and Control Service (DCAS), which is used to monitor  ...  In this paper, we revise and extend our initial findings by reporting on how ABSA was used to automate adaptations originally handled by humans.  ... 
doi:10.1016/j.jss.2015.09.021 fatcat:ja2bhic7r5byfglf6e4amztmgq

Comparison of perfect table cryptanalytic tradeoff algorithms

Ga Won Lee, Jin Hong
2015 Designs, Codes and Cryptography  
Keywords time memory tradeoff · distinguished point · rainbow table · perfect table · algorithm complexity Introduction A cryptanalytic time memory tradeoff algorithm is a method for inverting one-way  ...  This paper adds the perfect table versions of the distinguished point method and the rainbow table method to the list, so that all the major tradeoff algorithms may now be compared against each other.  ...  rainbow tradeoff requires log m 0 bits, and (20) shows how this compares with log m.  ... 
doi:10.1007/s10623-015-0116-0 fatcat:xw6toiwmqve27h6aoqynnduco4

Styles of Learning and Thinking Matter in Instruction and Assessment

Robert J. Sternberg, Elena L. Grigorenko, Li-fang Zhang
2008 Perspectives on Psychological Science  
We describe one ability-based theory and one personality-based theory and present supporting data from multiple studies relevant to each.  ...  In particular, shaping lessons based on an awareness that people learn and think in different ways can lead to improved instructional outcomes.  ...  Grantees undertaking such projects are encouraged to express freely their professional judgment.  ... 
doi:10.1111/j.1745-6924.2008.00095.x pmid:26158974 fatcat:p2qugvd5ezcrddvgh4idddl4ai

Analysis of the Non-perfect Table Fuzzy Rainbow Tradeoff [chapter]

Byoung-Il Kim, Jin Hong
2013 Lecture Notes in Computer Science  
Time memory tradeoff algorithms are tools for inverting oneway functions, and they are often used to recover passwords from unsalted password hashes.  ...  This work provides an accurate complexity analysis of the non-perfect table version of the fuzzy rainbow tradeoff algorithm, which has not yet received much attention.  ...  The alarms need to be handled separately for each pre-computation chain that merges with the online chain.  ... 
doi:10.1007/978-3-642-39059-3_24 fatcat:nvzjp2rafbeznhpbttgbdt3c34

Evaluating the Rainbow DQN Agent in Hanabi with Unseen Partners [article]

Rodrigo Canaan, Xianbo Gao, Youjin Chung, Julian Togelius, Andy Nealen, Stefan Menzel
2020 arXiv   pre-print
, whenthese agents are trained to play with any individual rule-basedagent, or even a mix of these agents, they fail to achieve goodself-play scores.  ...  In this paper, we showthat agents trained through self-play using the popular RainbowDQN architecture fail to cooperate well with simple rule-basedagents that were not seen during training and, conversely  ...  As such, our inquiry on how well this agent plays with other teammates is not out of hope that it is able to identify and adapt to different teammates, since it lacks the long-term memory needed for it  ... 
arXiv:2004.13291v1 fatcat:5kk3arholrcrbdoqloa5becsme

A Smart Platform for Large-Scale Cyber-Physical Systems [chapter]

Andrea Giordano, Giandomenico Spezzano, Andrea Vinci
2016 Internet of Things  
In this paper we introduce Rainbow, an architecture designed to address CPS issues.  ...  Rainbow aims to get the computation close to the sources of information (i.e., the physical devices) and addresses the dynamic adaptivity requirements of CPS by using Swarm Intelligence algorithms.  ...  During the execution, an agent exploits the Roles of its acquaintances to discriminate about how to interact with them.  ... 
doi:10.1007/978-3-319-26869-9_6 fatcat:fdbjyym7bvazbpfo7beh4qocou

Pacifier

Xuehai Qian, Benjamin Sahelices, Depei Qian
2014 SIGARCH Computer Architecture News  
phase with good precision, that indicates whether to record with Relog.  ...  Pacifier has two key components: (i) Relog, a general memory reordering logging and replay mechanism that can reproduce SCVs in relaxed memory models, and (ii) Granule, an SCV detection scheme in the record  ...  Rainbow [17] is the first scheme supporting memory models beyond TSO: it can handle RC in Figure 1 (b) but does not work with distributed directory.  ... 
doi:10.1145/2678373.2665736 fatcat:jlzk6xqvpbe3rdina6pidkevpy

RelaxReplay

Nima Honarmand, Josep Torrellas
2014 Proceedings of the 19th international conference on Architectural support for programming languages and operating systems - ASPLOS '14  
In addition, the average size of the log produced is comparable to the log sizes reported for existing solutions, and still very small compared to the memory bandwidth of modern machines.  ...  With the scheme, called RelaxReplay, we can build an RnR system for any relaxed-consistency model and coherence protocol.  ...  Next, we describe the architecture that processes perform and counting events, how it handles store-to-load forwarding, and how we replay a RelaxReplay log.  ... 
doi:10.1145/2541940.2541979 dblp:conf/asplos/HonarmandT14 fatcat:dnzuwujanfgindoqi5pg6xhjru
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