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はてなキーワード: oakとは
Betsy and Solomon lived happily through that winter and spring, and before summer came we had made up our minds to return to the East. What should we do with the owls? They would be a great deal of trouble to some one. They required an immense amount of petting, and a frequent supply of perfectly fresh meat. No matter how busy we were, one of us had to go to the butcher every other day.
We began to inquire among our friends who would like a nice, affectionate pair of owls? There seemed no great eagerness on the part of any one to(23) take the pets we so much valued. Plans for their future worried me so much that at last I said to my sister, “We will take them East with us.”
The owls, who were to take so long a journey, became objects of interest to our friends, and at a farewell tea given to us, a smartly dressed young man vowed that he must take leave of Solomon and Betsy. Calling for a broom, he slowly passed it to and fro over the carpet before them, while they sat looking at him with lifted ear tufts that betrayed great interest in his movements.
We trembled a little in view of our past moving experiences, but we were devoted to the little creatures and, when the time came, we cheerfully boarded the overland train at Oakland.
We had with us Betsy and Solomon in their large cage, and in a little cage a pair of strawberry finches, so called because their breasts are dotted like a strawberry. A friend had requested us to bring them East for her. We had also a dog—not Teddy, that had only been lent to us; but our own Irish setter Nita, one of the most lovable and interesting animals that I have ever owned.
The chipmunk was no longer with us. He had not seemed happy in the aviary—indeed, he lay down in it and threw me a cunning look, as if to say, “I will die if you don’t let me out of this.” So I gave him the freedom of the house. That pleased him, and for a few days he was very diligent in assisting us with our housekeeping by picking(24) all the crumbs off the floors and eating them. Then he disappeared, and I hope was happy ever after among the superb oak trees of the university grounds close to us.
When we started for the East, the pets, of course, had to go into the baggage car, and I must say here for the benefit of those persons who wish to travel with animals and birds, that there is good accommodation for them on overland trains. Sometimes we bought tickets for them, sometimes they had to go in an express car, sometimes we tipped the baggagemasters, but the sums spent were not exorbitant, and we found everywhere provision made for pets. You cannot take them in your rooms in hotels, but there is a place for them somewhere, and they will be brought to you whenever you wish to see them, or to give them exercise. We were on several different railway lines, and visited eight different cities, and the dog and birds, upon arriving in eastern Canada, seemed none the worse for their trip.
However, I would not by any means encourage the transportation of animals. Indeed, my feelings on the subject, since I understand the horrors animals and birds endure while being whirled from one place to another, are rather too strong for utterance. I would only say that in a case like mine, where separation between an owner and pets would mean unhappiness, it is better for both to endure a few days or weeks of travel. Then the case of animals(25) and birds traveling with some one who sees and encourages them every day is different from the case of unfortunate creatures sent off alone.
Our Nita was taken out of the car at every station where it was possible to exercise her, and one of us would run into restaurants along the route to obtain fresh meat for the owls. Their cage was closely covered, but whenever they heard us coming they hooted, and as no one seemed to guess what they were, they created a great deal of interest. My sister and I were amused one evening in Salt Lake City to see a man bending over the cage with an air of perplexity.
“They must be pollies,” he said at last, and yet his face showed that he did not think those were parrot noises issuing from within.
I remember one evening on arriving in Albany, New York, causing slight consternation in the hotel by a demand for raw meat. We hastened to explain that we did not want it for ourselves, and finally obtained what we wished.
As soon as we arrived home in Halifax, Nova Scotia, the owls were put downstairs in a nice, dry basement. They soon found their way upstairs, where the whole family was prepared to welcome them on account of their pretty ways and their love for caresses.
Strange to say, they took a liking to my father, who did not notice them particularly, and a mischievous dislike to my mother, who was disposed to(26) pet them. They used to fly on her head whenever they saw her. Their little claws were sharp and unpleasant to her scalp. We could not imagine why they selected her head unless it was that her gray hair attracted them. However, we had a French Acadian maid called Lizzie, whose hair was jet black, and they disliked her even more than they did my mother.
Lizzie, to get to her storeroom, had to cross the furnace-room where the owls usually were, and she soon began to complain bitterly of them.
“Dey watch me,” she said indignantly, “dey fly on my head, dey scratch me, an’ pull out my hairpins, an’ make my head sore.”
“Why don’t you push them off, Lizzie?” I asked, “they are only tiny things.”
“Dey won’t go—dey hold on an’ beat me,” she replied, and soon the poor girl had to arm herself with a switch when she went near them.
Lizzie was a descendant of the veritable Acadians mentioned in Longfellow’s “Evangeline,” of whom there are several thousand in Nova Scotia. My mother was attached to her, and at last she said, “I will not have Lizzie worried. Bring the owls up in my bathroom.”
There they seemed perfectly happy, sitting watching the sparrows from the window and teasing my long-suffering mother, who was obliged to give up using gas in this bathroom, for very often the owls put it out by flying at it.
(27)
One never heard them coming. I did not before this realize how noiseless the flight of an owl is. One did not dream they were near till there was a breath of air fanning one’s cheek. After we gave up the gas, for fear they would burn themselves, we decided to use a candle. It was absolutely necessary to have an unshaded light, for they would perch on any globe shading a flame, and would burn their feet.
The candle was more fun for them than the gas, for it had a smaller flame, and was more easily extinguished, and usually on entering the room, away would go the light, and we would hear in the corner a laughing voice, saying “Too, who, who, who, who!”
The best joke of all for the owls was to put out the candle when one was taking a bath, and I must say I heard considerable grumbling from the family on the subject. It seemed impossible to shade the light from them, and to find one’s self in the dark in the midst of a good splash, to have to emerge from the tub, dripping and cross, and search for matches, was certainly not calculated to add to one’s affection for Solomon and Betsy. However, they were members of the family, and as George Eliot says, “The members of your family are like the nose on your face—you have got to put up with it, seeing you can’t get rid of it.”
Alas! the time soon came when we had to lament the death of one of our troublesome but beloved pets.
Betsy one day partook heartily of a raw fish head,(28) and in spite of remedies applied, sickened rapidly and sank into a dying condition.
I was surprised to find what a hold the little thing had taken on my affection. When her soft, gray body became cold, I held her in my hand close to the fire and, with tears in my eyes, wished for a miracle to restore her to health.
She lay quietly until just before she died. Then she opened her eyes and I called to the other members of the family to come and see their strange expression. They became luminous and beautiful, and dilated in a peculiar way. We hear of the eyes of dying persons lighting up wonderfully, and this strange illumination of little Betsy’s eyes reminded me of such cases.
Even after death she lay with those wide-open eyes, and feeling that I had lost a friend, I put down her little dead body. It was impossible for me to conceal my emotion, and my mother, who had quite forgotten Betsy’s hostility to her, generously took the little feathered creature to a taxidermist.
I may say that Betsy was the first and last bird I shall ever have stuffed. I dare say the man did the work as well as it could be done, but I gazed in dismay at my Betsy when she came home. That stiff little creature sitting on a stick, with glazed eyes and motionless body, could not be the pretty little bird whose every motion was grace. Ever since the day of Betsy’s death, I can feel no admiration for a dead bird. Indeed, I turn sometimes with a shudder(29) from the agonized postures, the horrible eyes of birds in my sister women’s hats—and yet I used to wear them myself. My present conviction shows what education will do. If you like and study live birds, you won’t want to wear dead ones.
After Betsy’s death Solomon seemed so lonely that I resolved to buy him a companion. I chose a robin, and bought him for two dollars from a woman who kept a small shop. A naturalist friend warned me that I would have trouble, but I said remonstratingly, “My owl is not like other owls. He has been brought up like a baby. He does not know that his ancestors killed little birds.”
Alas! When my robin had got beautifully tame, when he would hop about after me, and put his pretty head on one side while I dug in the earth for worms for him, when he was apparently on the best of terms with Sollie, I came home one day to a dreadful discovery. Sollie was flying about with the robin’s body firmly clutched in one claw. He had killed and partly eaten him. I caught him, took the robin away from him, and upbraided him severely.
“Too, who, who, who who,” he said—apologetically, it seemed to me, “instinct was too strong for me. I got tired of playing with him, and thought I would see what he tasted like.”
I could not say too much to him. What about the innocent lambs and calves, of which Sollie’s owners had partaken?
(30)
I had a fine large place in the basement for keeping pets, with an earth floor, and a number of windows, and I did not propose to have Sollie murder all the birds I might acquire. So, one end of this room was wired off for him. He had a window in this cage overlooking the garden, and it was large enough for me to go in and walk about, while talking to him. He seemed happy enough there, and while gazing into the garden or watching the rabbits, guineapigs, and other pets in the large part of the room, often indulged in long, contented spells of cooing—not hooting.
In 1902 I was obliged to leave him for a six months’ trip to Europe. He was much petted by my sister, and I think spent most of his time upstairs with the family. When I returned home I brought, among other birds, a handsome Brazil cardinal. I stood admiring him as he stepped out of his traveling cage and flew around the aviary. Unfortunately, instead of choosing a perch, he flattened himself against the wire netting in Sollie’s corner.
I was looking right at him and the owl, and I never saw anything but lightning equal the celerity of Sollie’s flight, as he precipitated himself against the netting and caught at my cardinal’s showy red crest. The cardinal screamed like a baby, and I ran to release him, marveling that the owl could so insinuate his little claws through the fine mesh of the wire. However, he could do it, and he gripped the struggling cardinal by the long, hair-like(31) topknot, until I uncurled the wicked little claws. A bunch of red feathers fell to the ground, and the dismayed cardinal flew into a corner.
“Sollie,” I said, going into his cage and taking him in my hand, “how could you be so cruel to that new bird?”
“Oh, coo, coo, coo, coo,” he replied in a delightfully soft little voice, and gently resting his naughty little beak against my face. “You had better come upstairs,” I said, “I am afraid to leave you down here with that poor cardinal. You will be catching him again.”
He cooed once more. This just suited him, and he spent the rest of his life in regions above. I knew that he would probably not live as long in captivity as he would have done if his lot had been cast in the California foothills. His life was too unnatural. In their native state, owls eat their prey whole, and after a time disgorge pellets of bones, feathers, hairs, and scales, the remnants of food that cannot be digested.
My owls, on account of their upbringing, wanted their food cleaned for them. Betsy, one day, after much persuasion, swallowed a mouse to oblige me, but she was such a dismal picture as she sat for a long time with the tail hanging out of her beak that I never offered her another.
I tried to keep Solomon in condition by giving him, or forcing him to take, foreign substances, but my plan only worked for a time.
(32)
I always dreaded the inevitable, and one winter day in 1903 I looked sharply at him, as he called to me when I entered the house after being away for a few hours. “That bird is ill!” I said.
No other member of the family saw any change in him, but when one keeps birds and becomes familiar with the appearance of each one, they all have different facial and bodily expressions, and one becomes extremely susceptible to the slightest change. As I examined Sollie, my heart sank within me, and I began to inquire what he had been eating. He had partaken freely of boiled egg, meat, and charcoal. I gave him a dose of olive oil, and I must say that the best bird or beast to take medicine is an owl. Neither he nor Betsy ever objected in the l
ちなみにオークはブナ科コナラ属の木の総称で、日本で言うところの楢と樫の両方を包含する。
そんでオークのうち、一般的に落葉樹が楢で常緑樹が樫と呼ばれる。
なおヨーロッパで樫が生えているのは南欧に限られ、イギリス含む中欧・北欧は楢ばっかり生えていると。
これが最初に書いた、オークを樫と訳すのが基本不適切な理由らしい。
実際英語でオークのうち樫だけを指すときは"live oak"と言うみたいだし。
ではなぜこのような誤訳が起きたかと言えば、ヨーロッパにおけるオークの価値が、明治に和訳された時分に、翻訳者含め日本で十二分に理解されていなかったからと推測される。
というのも日本では古来、杉とか檜とかの針葉樹に高い価値があって、広葉樹は欅とか桐みたいな例外を除いて、近年まで雑木扱いだったイメージ。
これは従来日本における木材の用途が主に「建築材」であり、あとは桐箪笥に楽器や漆器、床の間と上がり框を飾る程度だったことが関係しそう。
何しろ明治維新まで椅子に座る文化は定着していなかったし、侘び寂びな空間を木材で飾る話でもない。
裸足や足袋で歩くんだったら床も杉板のほうが足に馴染むし…というわけでオークの出る幕はなかっただろう。
一方、机椅子に始まりキャビネットに床板化粧板と、木材の「内装材」「家具材」における需要も極めて大きかったヨーロッパ。
そしてオークは内装材・家具材として、ヨーロッパでは長い歴史と伝統を持つ一級品。
この用途でこれ以上の高級材といったらウォルナット(胡桃)・チーク・マホガニー(合わせて世界三大銘木)くらいしかない。
あとはヨーロッパの酒造において、オーク樽は原料の一部と言っていいくらい不可欠だったり。
そうした重要性から遂にはThe King of Forestと称されるほどに。
したがって当時の翻訳者が
「楢なんて、あんな箸にも棒にもかからない木がヨーロッパでは高級木材とかありえないっしょ」
みたいな思い込みで、オークを樫と訳したとしても不思議はない。
(まだ樫のほうが金槌の柄や鉋台とか、強度が求められる部材で価値があったと思われる)
これが大いなる勘違いだと判明するのに、今日に至るまで相当な時間を要したと。
そしてこういうややこしい事情を避けるためか、今はもうオークはオークのまま訳さなくなったっぽい？
(ファンタジー物で登場する、ヒューマノイドの方のオークは昔っからオークのままなのはさておき)
それにしても今振り返るとファンタジー系の小説で「樫の木の扉」とか書かれていたのは噴飯ものだし、少し前までは
「欧米では硬くて加工困難な樫の木から立派な家具をたくさん作っている。その点日本の木工はダメだな」
まあでも、そういう諸々を笑い話にできるくらい適切な情報が広まったのは喜ばしい。
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http://www.groupon.jp/cid/3419/dtype/main
で、
割引率 61％OFF
と謳っている。（既に販売は終了。）
一方、店の公式ページにあるメニューを見ると、特選コースとして3000円と4000円のものがあり、飲み放題1900円を入れると4900円〜。クーポンで買える品は3000円のコース(+飲み放題)とほぼ同じ。だけど微妙に違う品が入っているから、クーポンの内容を単品で全部揃えようとしたら「通常価格」である10300円かかるのだろう。そんな注文をする客がいるとは思えないが。
客のほとんどはコースを注文するだろうから、クーポンの品は5000円で売れれば十分利益の出るように設計しているはず。
不自然に安くしているわけでもないし、きっと本物の「通常価格」よりは下げているんだろう。景品表示的にも黒ではないんだろうけど、なんだか嫌な煽り方だ。素直に「5000円のコースの2割引クーポン」として売った方が客との信頼を築けるだろうに。
Rank Site Computer/Year Vendor Cores Rmax Rpeak Power1 DOE/NNSA/LANL
United States Roadrunner - BladeCenter QS22/LS21 Cluster, PowerXCell 8i 3.2 Ghz / Opteron DC 1.8 GHz, Voltaire Infiniband / 2008
IBM 129600 1105.00 1456.70 2483.47
2 Oak Ridge National Laboratory
United States Jaguar - Cray XT5 QC 2.3 GHz / 2008
Cray Inc. 150152 1059.00 1381.40 6950.60
3 Forschungszentrum Juelich (FZJ)
Germany JUGENE - Blue Gene/P Solution / 2009
IBM 294912 825.50 1002.70 2268.00
4 NASA/Ames Research Center/NAS
United States Pleiades - SGI Altix ICE 8200EX, Xeon QC 3.0/2.66 GHz / 2008
SGI 51200 487.01 608.83 2090.00
5 DOE/NNSA/LLNL
United States BlueGene/L - eServer Blue Gene Solution / 2007
IBM 212992 478.20 596.38 2329.60
6 National Institute for Computational Sciences/University of Tennessee
United States Kraken XT5 - Cray XT5 QC 2.3 GHz / 2008
Cray Inc. 66000 463.30 607.20
United States Blue Gene/P Solution / 2007
IBM 163840 458.61 557.06 1260.00
8 Texas Advanced Computing Center/Univ. of Texas
United States Ranger - SunBlade x6420, Opteron QC 2.3 Ghz, Infiniband / 2008
Sun Microsystems 62976 433.20 579.38 2000.00
9 DOE/NNSA/LLNL
United States Dawn - Blue Gene/P Solution / 2009
IBM 147456 415.70 501.35 1134.00
10 Forschungszentrum Juelich (FZJ)
Germany JUROPA - Sun Constellation, NovaScale R422-E2, Intel Xeon X5570, 2.93 GHz, Sun M9/Mellanox QDR Infiniband/Partec Parastation / 2009
Bull SA 26304 274.80 308.28 1549.00
11 NERSC/LBNL
United States Franklin - Cray XT4 QuadCore 2.3 GHz / 2008
Cray Inc. 38642 266.30 355.51 1150.00
12 Oak Ridge National Laboratory
United States Jaguar - Cray XT4 QuadCore 2.1 GHz / 2008
Cray Inc. 30976 205.00 260.20 1580.71
13 NNSA/Sandia National Laboratories
United States Red Storm - Sandia/ Cray Red Storm, XT3/4, 2.4/2.2 GHz dual/quad core / 2008
Cray Inc. 38208 204.20 284.00 2506.00
14 King Abdullah University of Science and Technology
Saudia Arabia Shaheen - Blue Gene/P Solution / 2009
IBM 65536 185.17 222.82 504.00
15 Shanghai Supercomputer Center
China Magic Cube - Dawning 5000A, QC Opteron 1.9 Ghz, Infiniband, Windows HPC 2008 / 2008
Dawning 30720 180.60 233.47
16 SciNet/University of Toronto
Canada GPC - iDataPlex, Xeon E55xx QC 2.53 GHz, GigE / 2009
IBM 30240 168.60 306.03 869.40
17 New Mexico Computing Applications Center (NMCAC)
United States Encanto - SGI Altix ICE 8200, Xeon quad core 3.0 GHz / 2007
SGI 14336 133.20 172.03 861.63
18 Computational Research Laboratories, TATA SONS
India EKA - Cluster Platform 3000 BL460c, Xeon 53xx 3GHz, Infiniband / 2008
Hewlett-Packard 14384 132.80 172.61 786.00
19 Lawrence Livermore National Laboratory
United States Juno - Appro XtremeServer 1143H, Opteron QC 2.2Ghz, Infiniband / 2008
Appro International 18224 131.60 162.20
20 Grand Equipement National de Calcul Intensif - Centre Informatique National de l'Enseignement Supérieur (GENCI-CINES)
France Jade - SGI Altix ICE 8200EX, Xeon quad core 3.0 GHz / 2008
SGI 12288 128.40 146.74 608.18
21 National Institute for Computational Sciences/University of Tennessee
United States Athena - Cray XT4 QuadCore 2.3 GHz / 2008
Cray Inc. 17956 125.13 165.20 888.82
22 Japan Agency for Marine -Earth Science and Technology
Japan Earth Simulator - Earth Simulator / 2009
NEC 1280 122.40 131.07
23 Swiss Scientific Computing Center (CSCS)
Switzerland Monte Rosa - Cray XT5 QC 2.4 GHz / 2009
Cray Inc. 14740 117.60 141.50
24 IDRIS
France Blue Gene/P Solution / 2008
IBM 40960 116.01 139.26 315.00
25 ECMWF
United Kingdom Power 575, p6 4.7 GHz, Infiniband / 2009
IBM 8320 115.90 156.42 1329.70
26 ECMWF
United Kingdom Power 575, p6 4.7 GHz, Infiniband / 2008
IBM 8320 115.90 156.42 1329.70
27 DKRZ - Deutsches Klimarechenzentrum
Germany Power 575, p6 4.7 GHz, Infiniband / 2008
IBM 8064 115.90 151.60 1288.69
28 JAXA
Japan Fujitsu FX1, Quadcore SPARC64 VII 2.52 GHz, Infiniband DDR / 2009
Fujitsu 12032 110.60 121.28
29 Total Exploration Production
France SGI Altix ICE 8200EX, Xeon quad core 3.0 GHz / 2008
SGI 10240 106.10 122.88 442.00
30 Government Agency
Sweden Cluster Platform 3000 BL460c, Xeon 53xx 2.66GHz, Infiniband / 2007
Hewlett-Packard 13728 102.80 146.43
31 Computer Network Information Center, Chinese Academy of Science
China DeepComp 7000, HS21/x3950 Cluster, Xeon QC HT 3 GHz/2.93 GHz, Infiniband / 2008
Lenovo 12216 102.80 145.97
32 Lawrence Livermore National Laboratory
United States Hera - Appro Xtreme-X3 Server - Quad Opteron Quad Core 2.3 GHz, Infiniband / 2009
Appro International 13552 102.20 127.20
33 Max-Planck-Gesellschaft MPI/IPP
Germany VIP - Power 575, p6 4.7 GHz, Infiniband / 2008
IBM 6720 98.24 126.34 1073.99
34 Pacific Northwest National Laboratory
United States Chinook - Cluster Platform 4000 DL185G5, Opteron QC 2.2 GHz, Infiniband DDR / 2008
Hewlett-Packard 18176 97.07 159.95
35 IT Service Provider
Germany Cluster Platform 3000 BL2x220, E54xx 3.0 Ghz, Infiniband / 2009
Hewlett-Packard 10240 94.74 122.88
France Frontier2 BG/L - Blue Gene/P Solution / 2008
37 IBM Thomas J. Watson Research Center
United States BGW - eServer Blue Gene Solution / 2005
IBM 40960 91.29 114.69 448.00
38 Commissariat a l'Energie Atomique (CEA)/CCRT
France CEA-CCRT-Titane - BULL Novascale R422-E2 / 2009
Bull SA 8576 91.19 100.51
39 Naval Oceanographic Office - NAVO MSRC
United States Cray XT5 QC 2.3 GHz / 2008
Cray Inc. 12733 90.84 117.13 588.90
40 Institute of Physical and Chemical Res. (RIKEN)
Japan PRIMERGY RX200S5 Cluster, Xeon X5570 2.93GHz, Infiniband DDR / 2009
Fujitsu 8256 87.89 96.76
41 GSIC Center, Tokyo Institute of Technology
Japan TSUBAME Grid Cluster with CompView TSUBASA - Sun Fire x4600/x6250, Opteron 2.4/2.6 GHz, Xeon E5440 2.833 GHz, ClearSpeed CSX600, nVidia GT200; Voltaire Infiniband / 2009
NEC/Sun 31024 87.01 163.19 1103.00
42 Information Technology Center, The University of Tokyo
Japan T2K Open Supercomputer (Todai Combined Cluster) - Hitachi Cluster Opteron QC 2.3 GHz, Myrinet 10G / 2008
Hitachi 12288 82.98 113.05 638.60
43 HLRN at Universitaet Hannover / RRZN
Germany SGI Altix ICE 8200EX, Xeon X5570 quad core 2.93 GHz / 2009
SGI 7680 82.57 90.01
44 HLRN at ZIB/Konrad Zuse-Zentrum fuer Informationstechnik
Germany SGI Altix ICE 8200EX, Xeon X5570 quad core 2.93 GHz / 2009
SGI 7680 82.57 90.01
45 Stony Brook/BNL, New York Center for Computational Sciences
United States New York Blue - eServer Blue Gene Solution / 2007
IBM 36864 82.16 103.22 403.20
46 CINECA
Italy Power 575, p6 4.7 GHz, Infiniband / 2009
IBM 5376 78.68 101.07 859.19
47 Center for Computational Sciences, University of Tsukuba
Japan T2K Open Supercomputer - Appro Xtreme-X3 Server - Quad Opteron Quad Core 2.3 GHz, Infiniband / 2009
Appro International 10368 77.28 95.39 671.80
48 US Army Research Laboratory (ARL)
United States Cray XT5 QC 2.3 GHz / 2008
Cray Inc. 10400 76.80 95.68 481.00
49 CSC (Center for Scientific Computing)
Finland Cray XT5/XT4 QC 2.3 GHz / 2009
Cray Inc. 10864 76.51 102.00 520.80
50 DOE/NNSA/LLNL
United States ASC Purple - eServer pSeries p5 575 1.9 GHz / 2006
IBM 12208 75.76 92.78 1992.96
51 National Centers for Environment Prediction
United States Power 575, p6 4.7 GHz, Infiniband / 2008
IBM 4992 73.06 93.85 797.82
52 Rensselaer Polytechnic Institute, Computational Center for Nanotechnology Innovations
United States eServer Blue Gene Solution / 2007
IBM 32768 73.03 91.75 358.40
53 Naval Oceanographic Office - NAVO MSRC
United States Power 575, p6 4.7 GHz, Infiniband / 2008
54 Joint Supercomputer Center
Russia MVS-100K - Cluster Platform 3000 BL460c/BL2x220, Xeon 54xx 3 Ghz, Infiniband / 2008
Hewlett-Packard 7920 71.28 95.04 327.00
55 US Army Research Laboratory (ARL)
United States SGI Altix ICE 8200 Enhanced LX, Xeon X5560 quad core 2.8 GHz / 2009
SGI 6656 70.00 74.55
56 NCSA
United States Abe - PowerEdge 1955, 2.33 GHz, Infiniband, Windows Server 2008/Red Hat Enterprise Linux 4 / 2007
Dell 9600 68.48 89.59
57 Cray Inc.
United States Shark - Cray XT5 QC 2.4 GHz / 2009
Cray Inc. 8576 67.76 82.33
58 NASA/Ames Research Center/NAS
United States Columbia - SGI Altix 1.5/1.6/1.66 GHz, Voltaire Infiniband / 2008
SGI 13824 66.57 82.94
59 University of Minnesota/Supercomputing Institute
United States Cluster Platform 3000 BL280c G6, Xeon X55xx 2.8Ghz, Infiniband / 2009
Hewlett-Packard 8048 64.00 90.14
60 Barcelona Supercomputing Center
Spain MareNostrum - BladeCenter JS21 Cluster, PPC 970, 2.3 GHz, Myrinet / 2006
IBM 10240 63.83 94.21
61 DOE/NNSA/LANL
United States Cerrillos - BladeCenter QS22/LS21 Cluster, PowerXCell 8i 3.2 Ghz / Opteron DC 1.8 GHz, Infiniband / 2008
IBM 7200 63.25 80.93 138.00
62 IBM Poughkeepsie Benchmarking Center
United States BladeCenter QS22/LS21 Cluster, PowerXCell 8i 3.2 Ghz / Opteron DC 1.8 GHz, Infiniband / 2008
IBM 7200 63.25 80.93 138.00
63 National Centers for Environment Prediction
United States Power 575, p6 4.7 GHz, Infiniband / 2009
IBM 4224 61.82 79.41 675.08
64 NCAR (National Center for Atmospheric Research)
United States bluefire - Power 575, p6 4.7 GHz, Infiniband / 2008
IBM 4064 59.68 76.40 649.51
65 National Institute for Fusion Science (NIFS)
Japan Plasma Simulator - Hitachi SR16000 Model L2, Power6 4.7Ghz, Infiniband / 2009
Hitachi 4096 56.65 77.00 645.00
66 Leibniz Rechenzentrum
Germany HLRB-II - Altix 4700 1.6 GHz / 2007
SGI 9728 56.52 62.26 990.24
67 ERDC MSRC
United States Jade - Cray XT4 QuadCore 2.1 GHz / 2008
Cray Inc. 8464 56.25 71.10 418.97
68 University of Edinburgh
United Kingdom HECToR - Cray XT4, 2.8 GHz / 2007
Cray Inc. 11328 54.65 63.44
69 University of Tokyo/Human Genome Center, IMS
Japan SHIROKANE - SunBlade x6250, Xeon E5450 3GHz, Infiniband / 2009
Sun Microsystems 5760 54.21 69.12
70 NNSA/Sandia National Laboratories
United States Thunderbird - PowerEdge 1850, 3.6 GHz, Infiniband / 2006
Dell 9024 53.00 64.97
71 Commissariat a l'Energie Atomique (CEA)
France Tera-10 - NovaScale 5160, Itanium2 1.6 GHz, Quadrics / 2006
Bull SA 9968 52.84 63.80
72 IDRIS
France Power 575, p6 4.7 GHz, Infiniband / 2008
IBM 3584 52.81 67.38 572.79
73 United Kingdom Meteorological Office
United Kingdom UKMO B - Power 575, p6 4.7 GHz, Infiniband / 2009
IBM 3520 51.86 66.18 562.60
74 United Kingdom Meteorological Office
United Kingdom UKMO A - Power 575, p6 4.7 GHz, Infiniband / 2009
IBM 3520 51.86 66.18 562.60
75 Wright-Patterson Air Force Base/DoD ASC
United States Altix 4700 1.6 GHz / 2007
SGI 9216 51.44 58.98
76 University of Southern California
United States HPC - PowerEdge 1950/SunFire X2200 Cluster Intel 53xx 2.33Ghz, Opteron 2.3 Ghz, Myrinet 10G / 2009
77 HWW/Universitaet Stuttgart
Germany Baku - NEC HPC 140Rb-1 Cluster, Xeon X5560 2.8Ghz, Infiniband / 2009
NEC 5376 50.79 60.21 186.00
78 Kyoto University
Japan T2K Open Supercomputer/Kyodai - Fujitsu Cluster HX600, Opteron Quad Core, 2.3 GHz, Infiniband / 2008
Fujitsu 6656 50.51 61.24
79 SARA (Stichting Academisch Rekencentrum)
Netherlands Power 575, p6 4.7 GHz, Infiniband / 2008
IBM 3328 48.93 62.57 531.88
80 SciNet/University of Toronto
Canada Power 575, p6 4.7 GHz, Infiniband / 2008
IBM 3328 48.93 62.57 531.88
81 IT Service Provider (B)
United States Cluster Platform 3000 BL460c, Xeon 54xx 3.0GHz, GigEthernet / 2009
Hewlett-Packard 7600 48.14 91.20
82 Moscow State University - Research Computing Center
Russia SKIF MSU - T-Platforms T60, Intel Quadcore 3Mhz, Infiniband DDR / 2008
SKIF/T-Platforms 5000 47.17 60.00 265.00
83 National Supercomputer Centre (NSC)
Sweden Neolith - Cluster Platform 3000 DL140 Cluster, Xeon 53xx 2.33GHz Infiniband / 2008
Hewlett-Packard 6440 47.03 60.02
84 IBM - Rochester
United States Blue Gene/P Solution / 2007
IBM 16384 46.83 55.71 126.00
85 IBM Thomas J. Watson Research Center
United States Blue Gene/P Solution / 2009
IBM 16384 46.83 55.71 126.00
86 Max-Planck-Gesellschaft MPI/IPP
Germany Genius - Blue Gene/P Solution / 2008
IBM 16384 46.83 55.71 126.00
87 Texas Advanced Computing Center/Univ. of Texas
United States Lonestar - PowerEdge 1955, 2.66 GHz, Infiniband / 2007
Dell 5848 46.73 62.22
88 HPC2N - Umea University
Sweden Akka - BladeCenter HS21 Cluster, Xeon QC HT 2.5 GHz, IB, Windows HPC 2008/CentOS / 2008
IBM 5376 46.04 53.76 173.21
89 Clemson University
United States Palmetto - PowerEdge 1950/SunFire X2200 Cluster Intel 53xx/54xx 2.33Ghz, Opteron 2.3 Ghz, Myrinet 10G / 2008
Dell/Sun 6120 45.61 56.55 285.00
90 Financial Services (H)
United States Cluster Platform 3000 BL460c G1, Xeon L5420 2.5 GHz, GigE / 2009
Hewlett-Packard 8312 43.75 83.12
91 Ohio Supercomputer Center
United States xSeries x3455 Cluster Opteron, DC 2.6 GHz/QC 2.5 GHz, Infiniband / 2009
IBM 8416 43.46 68.38
92 Consulting (C)
United States Cluster Platform 3000 BL460c G1, Xeon E5450 3.0 GHz, GigE / 2009
Hewlett-Packard 6768 43.00 81.22
93 National Institute for Materials Science
Japan SGI Altix ICE 8200EX, Xeon X5560 quad core 2.8 GHz / 2009
SGI 4096 42.69 45.88
94 IT Service Provider (D)
United States Cluster Platform 3000 BL460c, Xeon 54xx 3.0GHz, GigEthernet / 2009
Hewlett-Packard 6672 42.41 80.06
95 Maui High-Performance Computing Center (MHPCC)
United States Jaws - PowerEdge 1955, 3.0 GHz, Infiniband / 2006
Dell 5200 42.39 62.40
96 Commissariat a l'Energie Atomique (CEA)
France CEA-CCRT-Platine - Novascale 3045, Itanium2 1.6 GHz, Infiniband / 2007
Bull SA 7680 42.13 49.15
97 US Army Research Laboratory (ARL)
United States Michael J. Muuss Cluster (MJM) - Evolocity II (LS Supersystem) Xeon 51xx 3.0 GHz IB / 2007
Linux Networx 4416 40.61 52.99
98 University of Bergen
Norway Cray XT4 QuadCore 2.3 GHz / 2008
Cray Inc. 5550 40.59 51.06 274.73
99 Jeraisy Computer and Communication Services
Saudia Arabia Cluster Platform 3000 BL460c, Xeon 54xx 3 GHz, Infiniband / 2009
Hewlett-Packard 4192 39.70 50.30
100 R-Systems
United States R Smarr - Dell DCS CS23-SH, QC HT 2.8 GHz, Infiniband / 2008
Dell 4608 39.58 51.61
えっ?
手元のATOKでもそう動作しますよ。
あーれれー、まじですかーorz
半年くらい前に、webで配ってる体験版を導入してみたのですが、
どうしてもその設定だけがわからなくて挫折しました。
それができるのなら、乗り換えてもいいかなぁ…と思わなくもなかったり。
Japanistは2003以来、５年以上もメジャーアップデートしてないので、
いろいろ陳腐化していますし。
ちょっと型は崩してしまいますが、リアルフォースくらいの無変換-SPACE-変換キー配置なら、
親指できるんじゃないかな？と思ったりします。
そうですね。
折角ですから飛鳥にでも挑戦してみましょうかね。
AutoHotkeyならvistaでも動くようですし
えっ?
手元のATOKでもそう動作しますよ。
ちょっと型は崩してしまいますが、リアルフォースくらいの無変換-SPACE-変換キー配置なら、
親指できるんじゃないかな？と思ったりします。
自然にホームポジションに指を置いたあと、親指を少し外側に広げると、
無変換・変換キーに当たりますので。
かくいう私も、いまは前述のノートにUSBで日本語HHK2Liteをつないで、
そこから入力しています。以前の職場で、DELLのキーボードにエミュレータを乗っけて
親指化していたときにから、それくらいなら妥協できるようになりました。
Vistaなんでねぇ・・・繭とか窓使いとかが使えないのが痛いです。
というか、HHKもPFU a fujitsu companyじゃないか・・・orz
あと、ATOKとMS-IMEはそんなに操作感は変わらないと思います。
OAKで強烈？なのは、変換キーを押したあとに明示的に「確定」させなくても、
ATOKとかだと、「確定」させないと次の文字以降も「変換候補提示は解除して追記していく」
という動作に、なってしまいますので。
たいへん御布施しております。
買ったお！これ買ったお！ (；ω；)
http://www.saccess.co.jp/oasys/widenote.html
(追記)
ちょっと前の増田さんへの補足もあるんんですが、
私が相変わらずOAK/Japanistを使っているのは、たとえば仮に「OAK互換設定にしたとしても」
ATOKの辞書や補完の優秀さ、キーアサインの自由度はうらやましいのですが、
10年以上富士通漬けになっていると、「肌感覚」「指先感覚」として、
御布施せざるを得ないのです。うっうー。
http://anond.hatelabo.jp/20080903142441
http://anond.hatelabo.jp/20080903145748
情報屋さんといいますか、情報系の論文紙は日本語でも「, .」表記を推奨してたり、
日本語も横書きの場合は「，。」で句読点をつけるのが正しいとされている、んでしたっけ。
私の場合は、全角/半角の違いとか、送り仮名の使い分けとかを
明示的に自分で操作する癖がついてしまっています。
IMEの違いによる記号の入力のしやすさというのは、やっぱりあると思います。
前述のように、私も普段は親指シフト+Japanistですけれども、
他人の席のMS-IME+ローマ字入力を触ると、記号類の表現は変わります。
# ちなみに親指シフトって、？／??「」［］（）『』々。，、を、日本語モードのホームポジションのまま
# 打てるので、「開く・閉じる」「開く／閉じる」の違いをIMEに依存せず打ち分けられますし、
# 「閉じる」「閉る」も単文節変換する癖で、その瞬間ごとに最適な方を自分で選んでいます。
そのぐらいの違い（というと失礼かもしれませんか）で、印象が変わるといいますか、
別人のように見えるんでしょうかね。読み手の私としては…あんまり気にしなくて、
