GRAPE-DR /

Size: px
Start display at page:

Download "GRAPE-DR /"

Transcription

1 GRAPE-DR /

2 GRAPE GRAPE-DR

3 GRAPE ( ): (Barnes-Hut tree, FMM, Particle- Mesh Ewald(PPPM)...): ( )

4 1988

5 32 IC m 3 400

6 GRAPE-1(1989) Mflops

7 GRAPE-2(1990) 8 ( ) 40Mflops

8 GRAPE-3(1991) MHz 7.2Gflops

9 GRAPE-3 1µm MHz 600 Mflops

10 GRAPE-4(1995) Tflops

11 GRAPE-4 sqrt Pcut Fcut m/r FiFiPi m j r 2 Func. eval. m/r 3 Xi FiFiFi Xj Vi r. v m/r 5 Vj Xi Xi FiFiJi Xi Xi 1µm 10 (40 ) 640Mflops

12 GRAPE-4 Control Logic HARP LSI #0 Particle Data Memory PROMETHEUS LSI HARP LSI #15 HARP LSI #16 LSI HARP LSI #31 HARP LSI #32 HARP LSI #47

13 GRAPE-6(2002) Tflops

14 パイプライン LSI 0.25 µm ルール (東芝 TC-240, 1.8M ゲート) 90 MHz 動作 6 パイプラインを集積 チップあたり 31 Gflops

15 2006 GRAPE-6 Athlon FX nm 90nm 90MHz 2.8Gflops 32.4Gflops 11.2Gflops 10W 95W 1W 3.24Gflops 0.12 Gflops

16 GRAPE 1991 GRAPE-1A : GRAPE-1 : 1992 GRAPE-2A : MD GRAPE : 1992 HARP-1: Hermite 1993 GRAPE-3A: 1996 MD-GRAPE: MD GRAPE : 2001 MDM (MDG2): 75T 2006 PE (MDG3): 1P MD-Engine: ( NEC)

17 GRAPE 1991 DREAM: ZEBRA : Radiocity 1995 General: LU 2002? MACE: LU

18 GRAPE-4

19 GRAPE-3 GRAPE GRAPE-6 American Museum of Natural History Drexel University Indiana University Rochester Institute of Technology Rutgers University Rochester Institute of Technology University of Michigan University of California McMaster University The University of Cambridge University of Edinburgh Observatoire Astronomique Marseille-Provence(OAMP) Astronomisches Rechen-Institute (ARI) Ludwing-Maximillans University Max-Planck-Institute fur Astronomic

20 GRAPE-6 ( ) University of Bonn University of Mannheim Holland University of Amsterdam Nanjing Univesity Citec Co., Ltd Gunma Astronomical Observatory Hokkai-Gakuen University Kansai University Kyoto University National Institute for Fusion Science (NIFS) National Astronomical Observatory of Japan Osaka University The University of Tokyo Tokyo Institute of Technology University of Tsukuba 30 60Tflops MDGRAPE-2

21 GRAPE-6 MDGRAPE-3 : MDGRAPE-4, 20Pflops@2010 MDGRAPE-3 GRAPE-DR

22 GRAPE-DR GRAPE : 2 Petaflops Tflops GRAPE : GRAPE

23 GRAPE 12-bit fixed m j 64 bit fixed X i 36-bit float r 2 sqrt Func. eval. Pcut Fcut m/r m/r 3 64 bit fixed φ i FiFi ai Xj 36-bit float V i r. v 32-bit float m/r 5 Vj Xi Xi 32 bit fixed Fi. a i Xi Xi

24 GRAPE ( ( N )) µm µm nm nm 10

25 1.

26 1. 2.

27

28 GRAPE-DR (3)

29 1

30 : ( ) 1. GRAPE SIMD

31 GRAPE 12-bit fixed m j 64 bit fixed X i 36-bit float r 2 sqrt Func. eval. Pcut Fcut m/r m/r 3 64 bit fixed FiFi φ i ai Xj 36-bit float V i r. v 32-bit float m/r 5 Vj Xi Xi 32 bit fixed. a i Fi Xi Xi

32 FPGA IPFlex DAP/DNA 8-32 ALU

33 SIMD SIMD (Single Instruction Multiple Data): GRAPE

34 SIMD SIMD SSE MMX SIMD GRAPE-DR SIMD

35 SIMD Illiac IV, Goodyear MPP, ICL DAP, TMC CM-2, MASPAR MP-1 ALU REG MEM ALU REG MEM ALU REG MEM ALU REG MEM ALU REG MEM : : SIMD

36 SIMD Pentium III, IV R0 R1 R2 R3 R4 R5 R6 R7 W0 W1 W0 W1 W0 W1 W0 W1 W0 W1 W0 W1 W0 W1 W0 W1 W2 W3 W2 W3 W2 W3 W2 W3 W2 W3 W2 W3 W2 W3 W2 W3 ALU0 ALU1 ALU2 ALU3 1 : 4

37 nyo d4prqts B8C*DFEHGFI 7KJ GRAPE-DR SIMD!"$# %'& (*)+,-. /0!"$#%ˆ $Š 'ŒŽ (* & ) \Y]_^[`baTced 1$243$5687*9 (FPGA :';$< ) RTSVUTWYX[Z yz{z z} ~ $ƒ Q 0 w4xzyz{ L$M4N'OQP SING u Xtv (PE) 1 PE = + ( ) (PE ) PE (BB)

38 !"#%$ &(' )*+,-. /0 1!" #%$ &2 34 '5%6 7(8!"#%$ &(' )* 9:;. /0 9:<+;=,> A,CBED%F GHIJ K $ B L,M N 9:?@ A,CBED%F PE OQP!R

39 *,+ (M) PE PEID BBID A x + "! B T 32W 256W ALU # $ % & (' #)$ & (' (256 ),K M

40 PE : 36 ( ) : 72 ( ) 36/72 ( ) ( / / ) : (GRAPE-6 ) ( )

41 PE ( ) T T ( ) SIMD CM-2, MasPar MP-1 PE

42 Memory Wall 3

43 PE 3 : Embarassingly Parallel SIMD : Goodyear MPP, ICL DAP, TMC CM-1/2, Maspar MP- 1/2 PE :

44 f i = j f(x i, x j ) PE :

45 c ij = k a ik b kj PE A PE B 1 PE B A

46 : : : :

47 GRAPE-DR ( ) 500MHz 25-50W

48 GRAPE-DR 別ボード こっちが プロジェ クト公式 中身は殆ど同じ 何故か大きい 500MHz 動作まで 確認済

49 ( 2006) /VARI xi, yi, zi, e2; /VARJ xj, yj, zj, mj; /VARF fx, fy, fz; dx = xi - xj; dy = yi - yj; dz = zi - zj; r2 = dx*dx + dy*dy + dz*dz + e2; r3i= powm32(r2); ff = mj*r3i; fx += ff*dx; fy += ff*dy; fz += ff*dz; GRAPE PGR (FPGA PROGRAPE D 2006)

50 GRAPE LSI LSI GRAPE-DR SIMD GRAPE Pflops

GRAPE GRAPE-DR V-GRAPE

GRAPE GRAPE-DR V-GRAPE GRAPE-DR / 2006/11/20-22 GRAPE GRAPE-DR V-GRAPE http://antwrp.gsfc.nasa.gov/apod/ap950917.html ( ) SDSS Genzel et al 2003 Adaptive Optics SgrA ( ) 12 1 : GRAPE : (Barnes-Hut tree, FMM, Particle- Mesh

More information

GRAPE GRAPE-DR V-GRAPE

GRAPE GRAPE-DR V-GRAPE V-GRAPE / CCSR 2007/1/24 GRAPE GRAPE-DR V-GRAPE http://antwrp.gsfc.nasa.gov/apod/ap950917.html ( ) SDSS GRAPE : (Barnes-Hut tree, FMM, Particle- Mesh Ewald(PPPM)...): ( ) 1988 GRAPE-1(1989) 16 8 32

More information

HPC / (CfCA) HPC 2007/11/23-25

HPC / (CfCA) HPC 2007/11/23-25 HPC / (CfCA) HPC 2007/11/23-25 CfCA GRAPE GRAPE GRAPE-DR HPC : : 1 1 (II ) Ia 100 1 ( ) 0.1 pc 1 AU 3 : 1 100 Top-down Katz and Gunn 1992 Dark Matter + + DM, : :SPH 10 4 Cray YMP 500-1000 : 10 7 Saitoh

More information

: 50 10 10 1. : : 3 : 4 : 2 2. : 1946 1975 1 : load: store: : : ( ) ( ) : 101 x 101 ------------- 101 101 ------------ 11001 2 ( ): 32 32 1 32 : 32 ( ) 32 ( ) : log 2 32 : : ( F) ( D) E W 1 4 : F D E

More information

Agenda GRAPE-MPの紹介と性能評価 GRAPE-MPの概要 OpenCLによる四倍精度演算 (preliminary) 4倍精度演算用SIM 加速ボード 6 processor elem with 128 bit logic Peak: 1.2Gflops

Agenda GRAPE-MPの紹介と性能評価 GRAPE-MPの概要 OpenCLによる四倍精度演算 (preliminary) 4倍精度演算用SIM 加速ボード 6 processor elem with 128 bit logic Peak: 1.2Gflops Agenda GRAPE-MPの紹介と性能評価 GRAPE-MPの概要 OpenCLによる四倍精度演算 (preliminary) 4倍精度演算用SIM 加速ボード 6 processor elem with 128 bit logic Peak: 1.2Gflops ボードの概要 Control processor (FPGA by Altera) GRAPE-MP chip[nextreme

More information

A 99% MS-Free Presentation

A 99% MS-Free Presentation A 99% MS-Free Presentation 2 Galactic Dynamics (Binney & Tremaine 1987, 2008) Dynamics of Galaxies (Bertin 2000) Dynamical Evolution of Globular Clusters (Spitzer 1987) The Gravitational Million-Body Problem

More information

並列計算の数理とアルゴリズム サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. このサンプルページの内容は, 初版 1 刷発行時のものです.

並列計算の数理とアルゴリズム サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます.  このサンプルページの内容は, 初版 1 刷発行時のものです. 並列計算の数理とアルゴリズム サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. http://www.morikita.co.jp/books/mid/080711 このサンプルページの内容は, 初版 1 刷発行時のものです. Calcul scientifique parallèle by Frédéric Magoulès and François-Xavier

More information

スパコンに通じる並列プログラミングの基礎

スパコンに通じる並列プログラミングの基礎 2018.06.04 2018.06.04 1 / 62 2018.06.04 2 / 62 Windows, Mac Unix 0444-J 2018.06.04 3 / 62 Part I Unix GUI CUI: Unix, Windows, Mac OS Part II 2018.06.04 4 / 62 0444-J ( : ) 6 4 ( ) 6 5 * 6 19 SX-ACE * 6

More information

アクセラレータのデモと プログラミング手法

アクセラレータのデモと プログラミング手法 アクセラレータのデモと プログラミング手法 会津大学中里直人 アクセラレータボードを使った高速化スクール 2009/12/07 アクセラレータとは (1) ホスト計算機を補佐して特定の計算を高速化する計算機デバイス ホスト (CPU) で動作するプログラムを補佐 アクセラレータの例 Cell/PowerXCell8iブレード ボード : 計算 GPU ボード (NVIDIA, AMD, S3) :

More information

スパコンに通じる並列プログラミングの基礎

スパコンに通じる並列プログラミングの基礎 2016.06.06 2016.06.06 1 / 60 2016.06.06 2 / 60 Windows, Mac Unix 0444-J 2016.06.06 3 / 60 Part I Unix GUI CUI: Unix, Windows, Mac OS Part II 0444-J 2016.06.06 4 / 60 ( : ) 6 6 ( ) 6 10 6 16 SX-ACE 6 17

More information

262014 3 1 1 6 3 2 198810 2/ 198810 2 1 3 4 http://www.pref.hiroshima.lg.jp/site/monjokan/ 1... 1... 1... 2... 2... 4... 5... 9... 9... 10... 10... 10... 10... 13 2... 13 3... 15... 15... 15... 16 4...

More information

スパコンに通じる並列プログラミングの基礎

スパコンに通じる並列プログラミングの基礎 2018.09.10 furihata@cmc.osaka-u.ac.jp ( ) 2018.09.10 1 / 59 furihata@cmc.osaka-u.ac.jp ( ) 2018.09.10 2 / 59 Windows, Mac Unix 0444-J furihata@cmc.osaka-u.ac.jp ( ) 2018.09.10 3 / 59 Part I Unix GUI CUI:

More information

II 2 II

II 2 II II 2 II 2005 yugami@cc.utsunomiya-u.ac.jp 2005 4 1 1 2 5 2.1.................................... 5 2.2................................. 6 2.3............................. 6 2.4.................................

More information

困ったときのQ&A

困ったときのQ&A ii iii iv NEC Corporation 1997 v P A R T 1 vi vii P A R T 2 viii P A R T 3 ix x xi 1P A R T 2 1 3 4 1 5 6 1 7 8 1 9 1 2 3 4 10 1 11 12 1 13 14 1 1 2 15 16 1 2 1 1 2 3 4 5 17 18 1 2 3 1 19 20 1 21 22 1

More information

( : December 27, 2015) CONTENTS I. 1 II. 2 III. 2 IV. 3 V. 5 VI. 6 VII. 7 VIII. 9 I. 1 f(x) f (x) y = f(x) x ϕ(r) (gradient) ϕ(r) (gradϕ(r) ) ( ) ϕ(r)

( : December 27, 2015) CONTENTS I. 1 II. 2 III. 2 IV. 3 V. 5 VI. 6 VII. 7 VIII. 9 I. 1 f(x) f (x) y = f(x) x ϕ(r) (gradient) ϕ(r) (gradϕ(r) ) ( ) ϕ(r) ( : December 27, 215 CONTENTS I. 1 II. 2 III. 2 IV. 3 V. 5 VI. 6 VII. 7 VIII. 9 I. 1 f(x f (x y f(x x ϕ(r (gradient ϕ(r (gradϕ(r ( ϕ(r r ϕ r xi + yj + zk ϕ(r ϕ(r x i + ϕ(r y j + ϕ(r z k (1.1 ϕ(r ϕ(r i

More information

( )/2 hara/lectures/lectures-j.html 2, {H} {T } S = {H, T } {(H, H), (H, T )} {(H, T ), (T, T )} {(H, H), (T, T )} {1

( )/2   hara/lectures/lectures-j.html 2, {H} {T } S = {H, T } {(H, H), (H, T )} {(H, T ), (T, T )} {(H, H), (T, T )} {1 ( )/2 http://www2.math.kyushu-u.ac.jp/ hara/lectures/lectures-j.html 1 2011 ( )/2 2 2011 4 1 2 1.1 1 2 1 2 3 4 5 1.1.1 sample space S S = {H, T } H T T H S = {(H, H), (H, T ), (T, H), (T, T )} (T, H) S

More information

sec13.dvi

sec13.dvi 13 13.1 O r F R = m d 2 r dt 2 m r m = F = m r M M d2 R dt 2 = m d 2 r dt 2 = F = F (13.1) F O L = r p = m r ṙ dl dt = m ṙ ṙ + m r r = r (m r ) = r F N. (13.2) N N = R F 13.2 O ˆn ω L O r u u = ω r 1 1:

More information

e Ž ¹ vµ q ¹¹¹ ¹¹¹¹¹ vµ j ¹¹¹ ¹¹¹¹ r µ ¹¹¹¹ ¹¹¹¹¹ µ ¹¹¹¹¹ ¹¹¹¹ µ ¹¹¹¹ ¹¹¹ vµ ¹¹¹¹ ¹¹¹¹ vµ Ž ¹¹¹ ¹¹¹¹ vµˆ ¹¹¹ ¹¹¹¹¹ µ ¹¹¹¹ ¹¹¹¹¹¹¹¹ µ ¹¹¹¹¹ ¹¹¹

e Ž ¹ vµ q ¹¹¹ ¹¹¹¹¹ vµ j ¹¹¹ ¹¹¹¹ r µ ¹¹¹¹ ¹¹¹¹¹ µ ¹¹¹¹¹ ¹¹¹¹ µ ¹¹¹¹ ¹¹¹ vµ ¹¹¹¹ ¹¹¹¹ vµ Ž ¹¹¹ ¹¹¹¹ vµˆ ¹¹¹ ¹¹¹¹¹ µ ¹¹¹¹ ¹¹¹¹¹¹¹¹ µ ¹¹¹¹¹ ¹¹¹ e Ž µ ¹¹¹ ¹¹¹ v µ ¹¹¹¹¹ ¹¹¹¹¹¹ rµ ¹¹¹¹ ¹¹¹ j µ r µž ¹¹¹¹¹ ¹¹¹¹ µ ¹¹¹ ¹¹¹¹ µ ¹¹¹¹ ¹¹¹¹ µ ¹¹¹¹¹ µ ¹¹¹¹¹¹ ¹¹¹¹¹ l vµ u ¹¹¹ ¹¹¹¹¹¹ µ ¹¹¹¹ ¹¹¹¹¹ µ µ ¹¹¹ ¹¹¹ µg ¹¹¹¹ ¹¹¹¹¹ r µ Ž ¹¹¹ ¹¹¹ vµ ¹¹¹¹ ¹¹¹¹ µ ¹¹¹¹¹

More information

スライド 1

スライド 1 swk(at)ic.is.tohoku.ac.jp 2 Outline 3 ? 4 S/N CCD 5 Q Q V 6 CMOS 1 7 1 2 N 1 2 N 8 CCD: CMOS: 9 : / 10 A-D A D C A D C A D C A D C A D C A D C ADC 11 A-D ADC ADC ADC ADC ADC ADC ADC ADC ADC A-D 12 ADC

More information

ii

ii HPSI Hosei University Policy Science Institute i ii iii iv Cool Japan) - 1 - - 2 - - 3 - - 4 - - 5 - - 6 - - 7 - - 8 - CSBS - 9 - - 10-21 - 11 - - 12 - - 13 - - 14 - - 15 - - 16 - - 17 - - 18 - - 19 -

More information

..3. Ω, Ω F, P Ω, F, P ). ) F a) A, A,..., A i,... F A i F. b) A F A c F c) Ω F. ) A F A P A),. a) 0 P A) b) P Ω) c) [ ] A, A,..., A i,... F i j A i A

..3. Ω, Ω F, P Ω, F, P ). ) F a) A, A,..., A i,... F A i F. b) A F A c F c) Ω F. ) A F A P A),. a) 0 P A) b) P Ω) c) [ ] A, A,..., A i,... F i j A i A .. Laplace ). A... i),. ω i i ). {ω,..., ω } Ω,. ii) Ω. Ω. A ) r, A P A) P A) r... ).. Ω {,, 3, 4, 5, 6}. i i 6). A {, 4, 6} P A) P A) 3 6. ).. i, j i, j) ) Ω {i, j) i 6, j 6}., 36. A. A {i, j) i j }.

More information

入門ガイド

入門ガイド ii iii iv NEC Corporation 1998 v P A R 1 P A R 2 P A R 3 T T T vi P A R T 4 P A R T 5 P A R T 6 P A R T 7 vii 1P A R T 1 2 2 1 3 1 4 1 1 5 2 3 6 4 1 7 1 2 3 8 1 1 2 3 9 1 2 10 1 1 2 11 3 12 1 2 1 3 4 13

More information

i

i 14 i ii iii iv v vi 14 13 86 13 12 28 14 16 14 15 31 (1) 13 12 28 20 (2) (3) 2 (4) (5) 14 14 50 48 3 11 11 22 14 15 10 14 20 21 20 (1) 14 (2) 14 4 (3) (4) (5) 12 12 (6) 14 15 5 6 7 8 9 10 7

More information

untitled

untitled taisuke@cs.tsukuba.ac.jp http://www.hpcs.is.tsukuba.ac.jp/~taisuke/ CP-PACS HPC PC post CP-PACS CP-PACS II 1990 HPC RWCP, HPC かつての世界最高速計算機も 1996年11月のTOP500 第一位 ピーク性能 614 GFLOPS Linpack性能 368 GFLOPS (地球シミュレータの前

More information

1949 1902 1872 1886 1873 04 UNIVERSITY OF TSUKUBA 2002 1973 1962 UNIVERSITY OF TSUKUBA 05 06 UNIVERSITY OF TSUKUBA UNIVERSITY OF TSUKUBA 07 10 UNIVERSITY OF TSUKUBA 105 UNIVERSITY OF TSUKUBA 11 1.85%

More information

Part () () Γ Part ,

Part () () Γ Part , Contents a 6 6 6 6 6 6 6 7 7. 8.. 8.. 8.3. 8 Part. 9. 9.. 9.. 3. 3.. 3.. 3 4. 5 4.. 5 4.. 9 4.3. 3 Part. 6 5. () 6 5.. () 7 5.. 9 5.3. Γ 3 6. 3 6.. 3 6.. 3 6.3. 33 Part 3. 34 7. 34 7.. 34 7.. 34 8. 35

More information

museum data no74

museum data no74 74 Museum Data No.74 (2008.12) 1 2 Museum Data No.74 (2008.12) Museum Data No.74 (2008.12) 3 4 Museum Data No.74 (2008.12) Museum Data No.74 (2008.12) 5 6 Museum Data No.74 (2008.12) Museum Data No.74

More information

t = h x z z = h z = t (x, z) (v x (x, z, t), v z (x, z, t)) ρ v x x + v z z = 0 (1) 2-2. (v x, v z ) φ(x, z, t) v x = φ x, v z

t = h x z z = h z = t (x, z) (v x (x, z, t), v z (x, z, t)) ρ v x x + v z z = 0 (1) 2-2. (v x, v z ) φ(x, z, t) v x = φ x, v z I 1 m 2 l k 2 x = 0 x 1 x 1 2 x 2 g x x 2 x 1 m k m 1-1. L x 1, x 2, ẋ 1, ẋ 2 ẋ 1 x = 0 1-2. 2 Q = x 1 + x 2 2 q = x 2 x 1 l L Q, q, Q, q M = 2m µ = m 2 1-3. Q q 1-4. 2 x 2 = h 1 x 1 t = 0 2 1 t x 1 (t)

More information

活用ガイド (ハードウェア編)

活用ガイド (ハードウェア編) (Windows 98) 808-877675-122-A ii iii iv NEC Corporation 1999 v vi PART 1 vii viii PART 2 PART 3 ix x xi xii P A R T 1 2 1 3 4 1 5 6 1 7 8 1 9 10 11 1 12 1 1 2 3 13 1 2 3 14 4 5 1 15 1 1 16 1 17 18 1 19

More information

( ) X x, y x y x y X x X x [x] ( ) x X y x y [x] = [y] ( ) x X y y x ( ˆX) X ˆX X x x z x X x ˆX [z x ] X ˆX X ˆX ( ˆX ) (0) X x, y d(x(1), y(1)), d(x

( ) X x, y x y x y X x X x [x] ( ) x X y x y [x] = [y] ( ) x X y y x ( ˆX) X ˆX X x x z x X x ˆX [z x ] X ˆX X ˆX ( ˆX ) (0) X x, y d(x(1), y(1)), d(x Z Z Ẑ 1 1.1 (X, d) X x 1, x 2,, x n, x x n x(n) ( ) X x x ε N N i, j i, j d(x(i), x(j)) < ε ( ) X x x n N N i i d(x(n), x(i)) < 1 n ( ) X x lim n x(n) X x X () X x, y lim n d(x(n), y(n)) = 0 x y x y 1

More information

untitled

untitled ( œ ) œ 138,800 17 171,000 60,000 16,000 252,500 405,400 24,000 22 95,800 24 46,000 16,000 16,000 273,000 19,000 10,300 57,800 1,118,408,500 1,118,299,000 109,500 102,821,836 75,895,167 244,622 3,725,214

More information

) ] [ h m x + y + + V x) φ = Eφ 1) z E = i h t 13) x << 1) N n n= = N N + 1) 14) N n n= = N N + 1)N + 1) 6 15) N n 3 n= = 1 4 N N + 1) 16) N n 4

) ] [ h m x + y + + V x) φ = Eφ 1) z E = i h t 13) x << 1) N n n= = N N + 1) 14) N n n= = N N + 1)N + 1) 6 15) N n 3 n= = 1 4 N N + 1) 16) N n 4 1. k λ ν ω T v p v g k = π λ ω = πν = π T v p = λν = ω k v g = dω dk 1) ) 3) 4). p = hk = h λ 5) E = hν = hω 6) h = h π 7) h =6.6618 1 34 J sec) hc=197.3 MeV fm = 197.3 kev pm= 197.3 ev nm = 1.97 1 3 ev

More information

表1票4.qx4

表1票4.qx4 iii iv v 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 22 23 10 11 24 25 26 27 10 56 28 11 29 30 12 13 14 15 16 17 18 19 2010 2111 22 23 2412 2513 14 31 17 32 18 33 19 34 20 35 21 36 24 37 25 38 2614

More information

°ÌÁê¿ô³ØII

°ÌÁê¿ô³ØII July 14, 2007 Brouwer f f(x) = x x f(z) = 0 2 f : S 2 R 2 f(x) = f( x) x S 2 3 3 2 - - - 1. X x X U(x) U(x) x U = {U(x) x X} X 1. U(x) A U(x) x 2. A U(x), A B B U(x) 3. A, B U(x) A B U(x) 4. A U(x),

More information

VB-C50i/VB-C50iR 使用説明書

VB-C50i/VB-C50iR 使用説明書 a ii iii iv a v vi vii viii d a a d ix a a d b a a a b x a a g a g a e a a xi a a a xii a a xiii xiv 1-2 1-3 d 1-4 1-5 1-6 1-7 1-8 1-9 1-10 1-11 1-12 2-2 2-3 a 2-4 a 2-5 a 2-6 2-7 2-8 2-9 2-10 2-11 2-12

More information

2005 1

2005 1 25 SPARCstation 2 CPU central processor unit 25 2 25 3 25 4 DRAM 25 5 25 6 : DRAM 25 7 2 25 8 2 25 9 2 bit: binary digit V 2V 25 2 2 2 2 4 5 2 6 3 7 25 A B C A B C A B C A B C A C A B 3 25 2 25 3 Co Cin

More information

<4D F736F F D B B BB2D834A836F815B82D082C88C602E646F63>

<4D F736F F D B B BB2D834A836F815B82D082C88C602E646F63> 入門モーター工学 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. http://www.morikita.co.jp/books/mid/074351 このサンプルページの内容は, 初版 1 刷発行当時のものです. 10 kw 21 20 50 2 20 IGBT IGBT IGBT 21 (1) 1 2 (2) (3) ii 20 2013 2 iii iv...

More information

2 G(k) e ikx = (ik) n x n n! n=0 (k ) ( ) X n = ( i) n n k n G(k) k=0 F (k) ln G(k) = ln e ikx n κ n F (k) = F (k) (ik) n n= n! κ n κ n = ( i) n n k n

2 G(k) e ikx = (ik) n x n n! n=0 (k ) ( ) X n = ( i) n n k n G(k) k=0 F (k) ln G(k) = ln e ikx n κ n F (k) = F (k) (ik) n n= n! κ n κ n = ( i) n n k n . X {x, x 2, x 3,... x n } X X {, 2, 3, 4, 5, 6} X x i P i. 0 P i 2. n P i = 3. P (i ω) = i ω P i P 3 {x, x 2, x 3,... x n } ω P i = 6 X f(x) f(x) X n n f(x i )P i n x n i P i X n 2 G(k) e ikx = (ik) n

More information

量子力学 問題

量子力学 問題 3 : 203 : 0. H = 0 0 2 6 0 () = 6, 2 = 2, 3 = 3 3 H 6 2 3 ϵ,2,3 (2) ψ = (, 2, 3 ) ψ Hψ H (3) P i = i i P P 2 = P 2 P 3 = P 3 P = O, P 2 i = P i (4) P + P 2 + P 3 = E 3 (5) i ϵ ip i H 0 0 (6) R = 0 0 [H,

More information

: , 2.0, 3.0, 2.0, (%) ( 2.

: , 2.0, 3.0, 2.0, (%) ( 2. 2017 1 2 1.1...................................... 2 1.2......................................... 4 1.3........................................... 10 1.4................................. 14 1.5..........................................

More information

Microsoft Word - 印刷原稿富山産業政策集積2.doc

Microsoft Word - 印刷原稿富山産業政策集積2.doc 1 1 2 46 48 50 3 2 5 50 55 50 2 3 50 4 H I= JK# $6 &' () *+ LM NM O6 PQ F >R BS 9TC U: F> GB S 9T UU : F> >B S 9V W: W BB BS 9VF W : # $% & '( )* +, / # $% & '( )* +, / # $% & '( )* +, / # $% & '( )* +,

More information

エクセルカバー入稿用.indd

エクセルカバー入稿用.indd i 1 1 2 3 5 5 6 7 7 8 9 9 10 11 11 11 12 2 13 13 14 15 15 16 17 17 ii CONTENTS 18 18 21 22 22 24 25 26 27 27 28 29 30 31 32 36 37 40 40 42 43 44 44 46 47 48 iii 48 50 51 52 54 55 59 61 62 64 65 66 67 68

More information

EGunGPU

EGunGPU Super Computing in Accelerator simulations - Electron Gun simulation using GPGPU - K. Ohmi, KEK-Accel Accelerator Physics seminar 2009.11.19 Super computers in KEK HITACHI SR11000 POWER5 16 24GB 16 134GFlops,

More information

1 (1) () (3) I 0 3 I I d θ = L () dt θ L L θ I d θ = L = κθ (3) dt κ T I T = π κ (4) T I κ κ κ L l a θ L r δr δl L θ ϕ ϕ = rθ (5) l

1 (1) () (3) I 0 3 I I d θ = L () dt θ L L θ I d θ = L = κθ (3) dt κ T I T = π κ (4) T I κ κ κ L l a θ L r δr δl L θ ϕ ϕ = rθ (5) l 1 1 ϕ ϕ ϕ S F F = ϕ (1) S 1: F 1 1 (1) () (3) I 0 3 I I d θ = L () dt θ L L θ I d θ = L = κθ (3) dt κ T I T = π κ (4) T I κ κ κ L l a θ L r δr δl L θ ϕ ϕ = rθ (5) l : l r δr θ πrδr δf (1) (5) δf = ϕ πrδr

More information

( š ) š 13,448 1,243,000 1,249,050 1,243,000 1,243,000 1,249,050 1,249, , , ,885

( š ) š 13,448 1,243,000 1,249,050 1,243,000 1,243,000 1,249,050 1,249, , , ,885 ( š ) 7,000,000 191 191 6,697,131 5,845,828 653,450 197,853 4,787,707 577,127 4,000,000 146,580 146,580 64,000 100,000 500,000 120,000 60,000 60,000 60,000 60,000 60,000 200,000 150,000 60,000 60,000 100,000

More information

( )

( ) 1. 2. 3. 4. 5. ( ) () http://www-astro.physics.ox.ac.uk/~wjs/apm_grey.gif http://antwrp.gsfc.nasa.gov/apod/ap950917.html ( ) SDSS : d 2 r i dt 2 = Gm jr ij j i rij 3 = Newton 3 0.1% 19 20 20 2 ( ) 3 3

More information

困ったときのQ&A

困ったときのQ&A ii iii iv NEC Corporation 1998 v C O N T E N T S PART 1 vi vii viii ix x xi xii PART 2 xiii PART 3 xiv P A R T 1 3 1 2 PART 3 4 2 1 1 2 4 3 PART 1 4 5 5 6 PART 1 7 8 PART 1 9 1 2 3 1 2 3 10 PART 1 1 2

More information

01_.g.r..

01_.g.r.. I II III IV V VI VII VIII IX X XI I II III IV V I I I II II II I I YS-1 I YS-2 I YS-3 I YS-4 I YS-5 I YS-6 I YS-7 II II YS-1 II YS-2 II YS-3 II YS-4 II YS-5 II YS-6 II YS-7 III III YS-1 III YS-2

More information

医系の統計入門第 2 版 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. このサンプルページの内容は, 第 2 版 1 刷発行時のものです.

医系の統計入門第 2 版 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます.   このサンプルページの内容は, 第 2 版 1 刷発行時のものです. 医系の統計入門第 2 版 サンプルページ この本の定価 判型などは, 以下の URL からご覧いただけます. http://www.morikita.co.jp/books/mid/009192 このサンプルページの内容は, 第 2 版 1 刷発行時のものです. i 2 t 1. 2. 3 2 3. 6 4. 7 5. n 2 ν 6. 2 7. 2003 ii 2 2013 10 iii 1987

More information

n ξ n,i, i = 1,, n S n ξ n,i n 0 R 1,.. σ 1 σ i .10.14.15 0 1 0 1 1 3.14 3.18 3.19 3.14 3.14,. ii 1 1 1.1..................................... 1 1............................... 3 1.3.........................

More information

ストリーミング SIMD 拡張命令2 (SSE2) を使用した SAXPY/DAXPY

ストリーミング SIMD 拡張命令2 (SSE2) を使用した SAXPY/DAXPY SIMD 2(SSE2) SAXPY/DAXPY 2.0 2000 7 : 248600J-001 01/12/06 1 305-8603 115 Fax: 0120-47-8832 * Copyright Intel Corporation 1999, 2000 01/12/06 2 1...5 2 SAXPY DAXPY...5 2.1 SAXPY DAXPY...6 2.1.1 SIMD C++...6

More information

untitled

untitled PC murakami@cc.kyushu-u.ac.jp muscle server blade server PC PC + EHPC/Eric (Embedded HPC with Eric) 1216 Compact PCI Compact PCIPC Compact PCISH-4 Compact PCISH-4 Eric Eric EHPC/Eric EHPC/Eric Gigabit

More information

i ii iii iv v vi vii ( ー ー ) ( ) ( ) ( ) ( ) ー ( ) ( ) ー ー ( ) ( ) ( ) ( ) ( ) 13 202 24122783 3622316 (1) (2) (3) (4) 2483 (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) 11 11 2483 13

More information

i Armitage Q. Bonferroni 1 SAS ver9.1.3 version up 2 *1 *2 FWE *3 2.1 vs vs vs 2.2 5µg 10µg 20µg 5µg 10µg 20µg vs 5µg vs 10µg vs 20µg *1 *2 *3 FWE 1

i Armitage Q. Bonferroni 1 SAS ver9.1.3 version up 2 *1 *2 FWE *3 2.1 vs vs vs 2.2 5µg 10µg 20µg 5µg 10µg 20µg vs 5µg vs 10µg vs 20µg *1 *2 *3 FWE 1 i Armitage Q Boferroi SAS ver93 versio up * * FWE *3 vs vs vs 5µg 0µg 0µg 5µg 0µg 0µg vs 5µg vs 0µg vs 0µg * * *3 FWE 3 A B C D E (i A B C D E (ii A B C D E (iii A B C D E (iv A B C D A < B C D A < B

More information

1... 1 1... 1 2... 1 3... 1 4... 4 5... 7 6... 7 7... 12 8... 12 9... 13 10... 13 11... 13 12... 14 2... 14 1... 14 2... 16 3... 18 4... 19 5... 19 6.

1... 1 1... 1 2... 1 3... 1 4... 4 5... 7 6... 7 7... 12 8... 12 9... 13 10... 13 11... 13 12... 14 2... 14 1... 14 2... 16 3... 18 4... 19 5... 19 6. 3 2620149 1 3 8 3 2 198809 1/1 198809 1 1 3 4 5 JISJIS X 0208 : 1997 JIS 4 JIS X 0213:2004 http://www.pref.hiroshima.lg.jp/site/monjokan/ 1... 1 1... 1 2... 1 3... 1 4... 4 5... 7 6... 7 7... 12 8... 12

More information

d ϕ i) t d )t0 d ϕi) ϕ i) t x j t d ) ϕ t0 t α dx j d ) ϕ i) t dx t0 j x j d ϕ i) ) t x j dx t0 j f i x j ξ j dx i + ξ i x j dx j f i ξ i x j dx j d )

d ϕ i) t d )t0 d ϕi) ϕ i) t x j t d ) ϕ t0 t α dx j d ) ϕ i) t dx t0 j x j d ϕ i) ) t x j dx t0 j f i x j ξ j dx i + ξ i x j dx j f i ξ i x j dx j d ) 23 M R M ϕ : R M M ϕt, x) ϕ t x) ϕ s ϕ t ϕ s+t, ϕ 0 id M M ϕ t M ξ ξ ϕ t d ϕ tx) ξϕ t x)) U, x 1,...,x n )) ϕ t x) ϕ 1) t x),...,ϕ n) t x)), ξx) ξ i x) d ϕi) t x) ξ i ϕ t x)) M f ϕ t f)x) f ϕ t )x) fϕ

More information

「産業上利用することができる発明」の審査の運用指針(案)

「産業上利用することができる発明」の審査の運用指針(案) 1 1.... 2 1.1... 2 2.... 4 2.1... 4 3.... 6 4.... 6 1 1 29 1 29 1 1 1. 2 1 1.1 (1) (2) (3) 1 (4) 2 4 1 2 2 3 4 31 12 5 7 2.2 (5) ( a ) ( b ) 1 3 2 ( c ) (6) 2. 2.1 2.1 (1) 4 ( i ) ( ii ) ( iii ) ( iv)

More information

untitled

untitled ( œ ) œ 2,000,000 20. 4. 1 25. 3.27 44,886,350 39,933,174 4,953,176 9,393,543 4,953,012 153,012 4,800,000 164 164 4,001,324 2,899,583 254,074 847,667 5,392,219 584,884 7,335 4,800,000 153,012 4,800,000

More information

ohpr.dvi

ohpr.dvi 2003-08-04 1984 VP-1001 CPU, 250 MFLOPS, 128 MB 2004ASCI Purple (LLNL)64 CPU 197, 100 TFLOPS, 50 TB, 4.5 MW PC 2 CPU 16, 4 GFLOPS, 32 GB, 3.2 kw 20028 CPU 640, 40 TFLOPS, 10 TB, 10 MW (ASCI: Accelerated

More information

1 2420128 1 1 6 3 2 198808 189/1 1988081891 3 4 5 JISJIS X 0208 http://www.pref.hiroshima.lg.jp/site/monjokan/ 1... 1... 1... 1... 1... 2... 3... 3... 8... 8... 8... 9 2... 9... 9... 10... 11... 13...

More information

3 5 18 3 5000 1 2 7 8 120 1 9 1954 29 18 12 30 700 4km 1.5 100 50 6 13 5 99 93 34 17 2 2002 04 14 16 6000 12 57 60 1986 55 3 3 3 500 350 4 5 250 18 19 1590 1591 250 100 500 20 800 20 55 3 3 3 18 19 1590

More information

CABIN CABIN CABIN CABIN CABIN CABIN

CABIN CABIN CABIN CABIN CABIN CABIN CABIN VR 1p 47p 15 2 7 10165 1 1 6 1.1... 7 1.1.1... 7 1.1.2... 7 1.2... 8 1.3... 8 2 CABIN 9 2.1 CABIN... 10 2.2 CABIN... 10 2.3 CABIN... 12 2.4 CABIN... 12 3 CABIN 13 3.1... 14 3.2... 15 3.2.1... 15

More information

(2 X Poisso P (λ ϕ X (t = E[e itx ] = k= itk λk e k! e λ = (e it λ k e λ = e eitλ e λ = e λ(eit 1. k! k= 6.7 X N(, 1 ϕ X (t = e 1 2 t2 : Cauchy ϕ X (t

(2 X Poisso P (λ ϕ X (t = E[e itx ] = k= itk λk e k! e λ = (e it λ k e λ = e eitλ e λ = e λ(eit 1. k! k= 6.7 X N(, 1 ϕ X (t = e 1 2 t2 : Cauchy ϕ X (t 6 6.1 6.1 (1 Z ( X = e Z, Y = Im Z ( Z = X + iy, i = 1 (2 Z E[ e Z ] < E[ Im Z ] < Z E[Z] = E[e Z] + ie[im Z] 6.2 Z E[Z] E[ Z ] : E[ Z ] < e Z Z, Im Z Z E[Z] α = E[Z], Z = Z Z 1 {Z } E[Z] = α = α [ α ]

More information

NA-F80D2S/F70D2S取扱説明書

NA-F80D2S/F70D2S取扱説明書 NA-F80D2S NA-F70D2S C C B B B B B C C C C C C C C C C C C C C C C C C C C C C C C C C C C C 1 3 4 C C 2 2 C C CC C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C C B BB B B B B BB

More information

178 5 I 1 ( ) ( ) 10 3 13 3 1 8891 8 3023 6317 ( 10 1914 7152 ) 16 5 1 ( ) 6 13 3 13 3 8575 3896 8 1715 779 6 (1) 2 7 4 ( 2 ) 13 11 26 12 21 14 11 21

178 5 I 1 ( ) ( ) 10 3 13 3 1 8891 8 3023 6317 ( 10 1914 7152 ) 16 5 1 ( ) 6 13 3 13 3 8575 3896 8 1715 779 6 (1) 2 7 4 ( 2 ) 13 11 26 12 21 14 11 21 I 178 II 180 III ( ) 181 IV 183 V 185 VI 186 178 5 I 1 ( ) ( ) 10 3 13 3 1 8891 8 3023 6317 ( 10 1914 7152 ) 16 5 1 ( ) 6 13 3 13 3 8575 3896 8 1715 779 6 (1) 2 7 4 ( 2 ) 13 11 26 12 21 14 11 21 4 10 (

More information

+ 1 ( ) I IA i i i 1 n m a 11 a 1j a 1m A = a i1 a ij a im a n1 a nj a nm.....

+   1 ( ) I IA i i i 1 n m a 11 a 1j a 1m A = a i1 a ij a im a n1 a nj a nm..... + http://krishnathphysaitama-uacjp/joe/matrix/matrixpdf 1 ( ) I IA i i i 1 n m a 11 a 1j a 1m A = a i1 a ij a im a n1 a nj a nm (1) n m () (n, m) ( ) n m B = ( ) 3 2 4 1 (2) 2 2 ( ) (2, 2) ( ) C = ( 46

More information

Gmech08.dvi

Gmech08.dvi 145 13 13.1 13.1.1 0 m mg S 13.1 F 13.1 F /m S F F 13.1 F mg S F F mg 13.1: m d2 r 2 = F + F = 0 (13.1) 146 13 F = F (13.2) S S S S S P r S P r r = r 0 + r (13.3) r 0 S S m d2 r 2 = F (13.4) (13.3) d 2

More information

untitled

untitled 17 5 13 1 2 1.1... 2 1.2... 2 1.3... 3 2 3 2.1... 3 2.2... 5 3 6 3.1... 6 3.2... 7 3.3 t... 7 3.4 BC a... 9 3.5... 10 4 11 1 1 θ n ˆθ. ˆθ, ˆθ, ˆθ.,, ˆθ.,.,,,. 1.1 ˆθ σ 2 = E(ˆθ E ˆθ) 2 b = E(ˆθ θ). Y 1,,Y

More information

KANSAI UNIVERSITY contents 01 07 27 37 1 2 KANSAI UNIVERSITY 3 KANSAI UNIVERSITY 4 5 KANSAI UNIVERSITY 6 7 KANSAI UNIVERSITY 8 9 KANSAI UNIVERSITY 10 11 KANSAI UNIVERSITY 12 13 KANSAI UNIVERSITY 14 15

More information

(2004 ) 2 (A) (B) (C) 3 (1987) (1988) Shimono and Tachibanaki(1985) (2008) , % 2 (1999) (2005) 3 (2005) (2006) (2008)

(2004 ) 2 (A) (B) (C) 3 (1987) (1988) Shimono and Tachibanaki(1985) (2008) , % 2 (1999) (2005) 3 (2005) (2006) (2008) ,, 23 4 30 (i) (ii) (i) (ii) Negishi (1960) 2010 (2010) ( ) ( ) (2010) E-mail:fujii@econ.kobe-u.ac.jp E-mail:082e527e@stu.kobe-u.ac.jp E-mail:iritani@econ.kobe-u.ac.jp 1 1 16 (2004 ) 2 (A) (B) (C) 3 (1987)

More information

difgeo1.dvi

difgeo1.dvi 1 http://matlab0.hwe.oita-u.ac.jp/ matsuo/difgeo.pdf ver.1 8//001 1 1.1 a A. O 1 e 1 ; e ; e e 1 ; e ; e x 1 ;x ;x e 1 ; e ; e X x x x 1 ;x ;x X (x 1 ;x ;x ) 1 1 x x X e e 1 O e x x 1 x x = x 1 e 1 + x

More information

2011de.dvi

2011de.dvi 211 ( 4 2 1. 3 1.1............................... 3 1.2 1- -......................... 13 1.3 2-1 -................... 19 1.4 3- -......................... 29 2. 37 2.1................................ 37

More information

1. x { e 1,..., e n } x = x1 e1 + + x n en = (x 1,..., x n ) X, Y [X, Y ] Intrinsic ( ) Intrinsic M m P M C P P M P M v 3 v : C P R 1

1. x { e 1,..., e n } x = x1 e1 + + x n en = (x 1,..., x n ) X, Y [X, Y ] Intrinsic ( ) Intrinsic M m P M C P P M P M v 3 v : C P R 1 1. x { e 1,..., e n } x = x1 e1 + + x n en = (x 1,..., x n ) X, Y [X, Y ] Intrinsic ( ) Intrinsic M m P M C P P M P M v 3 v : C P R 1 f, g C P, λ R (1) v(f + g) = v(f) + v(g) (2) v(λf) = λv(f) (3) v(fg)

More information

統計学のポイント整理

統計学のポイント整理 .. September 17, 2012 1 / 55 n! = n (n 1) (n 2) 1 0! = 1 10! = 10 9 8 1 = 3628800 n k np k np k = n! (n k)! (1) 5 3 5 P 3 = 5! = 5 4 3 = 60 (5 3)! n k n C k nc k = npk k! = n! k!(n k)! (2) 5 3 5C 3 = 5!

More information

untitled

untitled 23 59 13 23 24 0101 0001 0101 0002 0101 0001 0101 0002 0101 0007 0101 0009 0101 0012 0101 0026 0101 0031 0101 0033 0101 0056 0101 0059 0101 0075 0101 0076 0101 5001 0101 0002 0101 0003 0101 0008 0101 0010

More information

活用ガイド (ソフトウェア編)

活用ガイド (ソフトウェア編) (Windows 95 ) ii iii iv NEC Corporation 1999 v P A R T 1 vi P A R T 2 vii P A R T 3 P A R T 4 viii P A R T 5 ix x P A R T 1 2 3 1 1 2 4 1 2 3 4 5 1 1 2 3 4 6 5 6 7 7 1 1 2 8 1 9 1 1 2 3 4 5 6 1 2 3 4

More information

HPCマシンの変遷と 今後の情報基盤センターの役割

HPCマシンの変遷と 今後の情報基盤センターの役割 筑波大学計算科学センターシンポジウム 計算機アーキテクトが考える 次世代スパコン 2006 年 4 月 5 日 村上和彰 九州大学 murakami@cc.kyushu-u.ac.jp 次世代スパコン ~ 達成目標と制約条件の整理 ~ 達成目標 性能目標 (2011 年 ) LINPACK (HPL):10PFlop/s 実アプリケーション :1PFlop/s 成果目標 ( 私見 ) 科学技術計算能力の国際競争力の向上ならびに維持による我が国の科学技術力

More information

untitled

untitled œ ( œ ) œ 847,120 2,343,446 2,343,446 45,242 25. 5.17 6,472,966 6,472,966 6,472,966 972,332 972,332 5,500,000 5,500,000 634 634 2,053,480 1,423,820 27,053 79,255 523,352 4,419,486 95,352 4,300,204 4,300,204

More information

i

i i ii iii iv v vi vii viii ix x xi ( ) 854.3 700.9 10 200 3,126.9 162.3 100.6 18.3 26.5 5.6/s ( ) ( ) 1949 8 12 () () ア イ ウ ) ) () () () () BC () () (

More information

2 (2016 3Q N) c = o (11) Ax = b A x = c A n I n n n 2n (A I n ) (I n X) A A X A n A A A (1) (2) c 0 c (3) c A A i j n 1 ( 1) i+j A (i, j) A (i, j) ã i

2 (2016 3Q N) c = o (11) Ax = b A x = c A n I n n n 2n (A I n ) (I n X) A A X A n A A A (1) (2) c 0 c (3) c A A i j n 1 ( 1) i+j A (i, j) A (i, j) ã i [ ] (2016 3Q N) a 11 a 1n m n A A = a m1 a mn A a 1 A A = a n (1) A (a i a j, i j ) (2) A (a i ca i, c 0, i ) (3) A (a i a i + ca j, j i, i ) A 1 A 11 0 A 12 0 0 A 1k 0 1 A 22 0 0 A 2k 0 1 0 A 3k 1 A rk

More information

5 Armitage x 1,, x n y i = 10x i + 3 y i = log x i {x i } {y i } 1.2 n i i x ij i j y ij, z ij i j 2 1 y = a x + b ( cm) x ij (i j )

5 Armitage x 1,, x n y i = 10x i + 3 y i = log x i {x i } {y i } 1.2 n i i x ij i j y ij, z ij i j 2 1 y = a x + b ( cm) x ij (i j ) 5 Armitage. x,, x n y i = 0x i + 3 y i = log x i x i y i.2 n i i x ij i j y ij, z ij i j 2 y = a x + b 2 2. ( cm) x ij (i j ) (i) x, x 2 σ 2 x,, σ 2 x,2 σ x,, σ x,2 t t x * (ii) (i) m y ij = x ij /00 y

More information

Auerbach and Kotlikoff(1987) (1987) (1988) 4 (2004) 5 Diamond(1965) Auerbach and Kotlikoff(1987) 1 ( ) ,

Auerbach and Kotlikoff(1987) (1987) (1988) 4 (2004) 5 Diamond(1965) Auerbach and Kotlikoff(1987) 1 ( ) , ,, 2010 8 24 2010 9 14 A B C A (B Negishi(1960) (C) ( 22 3 27 ) E-mail:fujii@econ.kobe-u.ac.jp E-mail:082e527e@stu.kobe-u.ac.jp E-mail:iritani@econ.kobe-u.ac.jp 1 1 1 2 3 Auerbach and Kotlikoff(1987) (1987)

More information

untitled

untitled Ÿ Ÿ ( œ ) 120,000 60,000 120,000 120,000 80,000 72,000 100,000 180,000 60,000 100,000 60,000 120,000 100,000 240,000 120,000 240,000 1,150,000 100,000 120,000 72,000 300,000 72,000 100,000 100,000 60,000

More information