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Die shrink

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manufacturing, the die shrink often involves shrinking the die on a node not defined by the ITRS, for instance, the 150 nm, 110 nm, 80 nm, 55 nm, 40 nm and more currently 8 nm nodes, sometimes referred to as "half-nodes". This is a stopgap between two ITRS-defined
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headroom, and lower prices. Since the cost to fabricate a 200-mm or 300-mm silicon wafer is proportional to the number of fabrication steps and not proportional to the number of chips on the wafer, die shrinks cram more chips onto each wafer, resulting in lowered manufacturing costs per chip.
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nodes (thus called a "half-node shrink") before further shrink to the lower ITRS-defined nodes occurs, which helps save additional R&D cost. The choice to perform die shrinks to either full nodes or half-nodes rests with the foundry and not the integrated circuit designer.
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while maintaining the same clock frequency of a chip, making a product with less power consumption (and thus less heat production), increased
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Die shrinks are beneficial to end-users as shrinking a die reduces the current used by each transistor switching on or off in
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chips from Samsung, Toshiba and SK Hynix. In January 2010, Intel released
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In CPU fabrications, a die shrink always involves an advance to a
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Die shrinks are the key to lower prices and higher performance at
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creates a somewhat identical circuit using a more advanced
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Process of scaling down the size of semiconductor devices
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from both ATI and NVIDIA, and various generations of
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Examples in the 2000s include the downscaling of the
60:. Unsourced material may be challenged and removed. 1054:Globalfoundries 28nm, Leading-Edge Technologies 963: 961: 453: 8: 1024:EETimes: ON Semi offers 110-nm ASIC platform 511:, resulting in less cost per product sold. 1059:TSMC Reiterates 28 nm Readiness by Q4 2011 460: 446: 131: 120:Learn how and when to remove this message 728: 666:process used in older iterations of the 928: 492:(MOS) devices. The act of shrinking a 134: 1064:Design starts triple for TSMC at 28-nm 7: 1034:RDA, SMIC make 55-nm mixed-signal IC 610:processors (from 65 nm CMOS to 602:processors (from 90 nm CMOS to 58:adding citations to reliable sources 1049:SiliconBlue tips FPGA move to 40-nm 500:, usually involving an advance of 25: 902:Semiconductor device fabrication 881: 387: 146: 34: 45:needs additional citations for 1029:Renesas 55 nm process features 662:process, down from a previous 1: 658:processors fabricated with a 595:CMOS in 2003), the codenamed 1100: 1019:0.11 μm Standard Cell ASIC 635:), various generations of 561: 490:metal–oxide–semiconductor 716:(see list). For GPU and 516:semiconductor companies 542:(including the former 538:manufacturers such as 693:semiconductor devices 614:CMOS), the codenamed 1039:Globalfoundries 40nm 54:improve this article 1079:Integrated circuits 731: 712:node as defined by 498:fabrication process 897:Integrated circuit 889:Electronics portal 738:Stopgap half-node 729: 996:. The Motley Fool 872: 871: 686:microarchitecture 674:microarchitecture 621:processors (from 470: 469: 130: 129: 122: 104: 16:(Redirected from 1091: 1006: 1005: 1003: 1001: 990: 984: 983: 981: 979: 965: 956: 955: 953: 951: 946:. April 21, 2003 941: 933: 917:Transistor count 907:Photolithography 891: 886: 885: 732: 564:Transistor count 484:) refers to the 462: 455: 448: 418:Transistor count 371: 353: 344: 335: 326: 317: 308: 299: 290: 281: 272: 263: 218: 209: 200: 191: 182: 173: 150: 132: 125: 118: 114: 111: 105: 103: 62: 38: 30: 21: 1099: 1098: 1094: 1093: 1092: 1090: 1089: 1088: 1069: 1068: 1015: 1010: 1009: 999: 997: 992: 991: 987: 977: 975: 967: 966: 959: 949: 947: 939: 935: 934: 930: 925: 887: 880: 877: 735:Main ITRS node 706: 678:Tick-Tock model 576:processor from 566: 560: 466: 437: 433:Nanoelectronics 384: 378: 369: 360: 351: 342: 333: 324: 315: 306: 297: 288: 279: 270: 261: 216: 207: 198: 189: 180: 171: 158: 139: 137: 126: 115: 109: 106: 63: 61: 51: 39: 28: 23: 22: 15: 12: 11: 5: 1097: 1095: 1087: 1086: 1084:Semiconductors 1081: 1071: 1070: 1067: 1066: 1061: 1056: 1051: 1046: 1041: 1036: 1031: 1026: 1021: 1014: 1013:External links 1011: 1008: 1007: 985: 957: 927: 926: 924: 921: 920: 919: 914: 909: 904: 899: 893: 892: 876: 873: 870: 869: 866: 860: 859: 856: 850: 849: 846: 840: 839: 836: 830: 829: 826: 820: 819: 816: 810: 809: 806: 800: 799: 796: 790: 789: 786: 780: 779: 776: 770: 769: 766: 760: 759: 756: 750: 749: 746: 740: 739: 736: 705: 702: 682:business model 574:Emotion Engine 559: 556: 482:process shrink 478:optical shrink 468: 467: 465: 464: 457: 450: 442: 439: 438: 436: 435: 430: 425: 420: 415: 410: 400: 395: 390: 383: 380: 379: 377: 376: 365: 362: 361: 359: 358: 349: 340: 331: 322: 313: 304: 295: 286: 277: 268: 259: 253: 247: 241: 235: 229: 223: 214: 205: 196: 187: 178: 168: 165: 164: 156:MOSFET scaling 152: 151: 143: 142: 128: 127: 42: 40: 33: 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 1096: 1085: 1082: 1080: 1077: 1076: 1074: 1065: 1062: 1060: 1057: 1055: 1052: 1050: 1047: 1045: 1042: 1040: 1037: 1035: 1032: 1030: 1027: 1025: 1022: 1020: 1017: 1016: 1012: 995: 989: 986: 974: 970: 964: 962: 958: 945: 938: 932: 929: 922: 918: 915: 913: 910: 908: 905: 903: 900: 898: 895: 894: 890: 884: 879: 874: 867: 865: 862: 861: 857: 855: 852: 851: 847: 845: 842: 841: 837: 835: 832: 831: 827: 825: 822: 821: 817: 815: 812: 811: 807: 805: 802: 801: 797: 795: 792: 791: 787: 785: 782: 781: 777: 775: 772: 771: 767: 765: 762: 761: 757: 755: 752: 751: 747: 745: 742: 741: 737: 734: 733: 727: 724: 719: 715: 711: 703: 701: 698: 694: 689: 687: 683: 679: 675: 672: 669: 665: 661: 657: 653: 650: 646: 642: 638: 634: 631: 627: 624: 620: 617: 613: 609: 608:Penryn Core 2 605: 601: 598: 594: 590: 587: 583: 579: 575: 571: 570:PlayStation 2 565: 557: 555: 553: 549: 545: 541: 537: 533: 529: 525: 521: 517: 512: 510: 509:silicon wafer 506: 503: 499: 495: 491: 487: 483: 479: 475: 463: 458: 456: 451: 449: 444: 443: 441: 440: 434: 431: 429: 426: 424: 423:Semiconductor 421: 419: 416: 414: 411: 408: 404: 401: 399: 396: 394: 391: 389: 386: 385: 382: 381: 374: 368: 367: 364: 363: 356: 350: 347: 341: 338: 332: 329: 323: 320: 314: 311: 305: 302: 296: 293: 287: 284: 278: 275: 269: 266: 260: 257: 254: 251: 248: 245: 242: 239: 236: 233: 230: 227: 224: 221: 215: 212: 206: 203: 197: 194: 188: 185: 179: 176: 170: 169: 167: 166: 162: 161:process nodes 157: 154: 153: 149: 145: 144: 141: 136:Semiconductor 133: 124: 121: 113: 110:February 2017 102: 99: 95: 92: 88: 85: 81: 78: 74: 71: –  70: 66: 65:Find sources: 59: 55: 49: 48: 43:This article 41: 37: 32: 31: 19: 998:. Retrieved 988: 976:. Retrieved 972: 948:. Retrieved 931: 768:110 nm 758:150 nm 748:220 nm 730:Half-shrink 723:lithographic 710:lithographic 707: 690: 684:, every new 645:flash memory 619:Athlon 64 X2 567: 513: 502:lithographic 481: 477: 473: 471: 375: ~ 2025 357: – 2022 348: – 2020 339: – 2018 330: – 2016 321: – 2014 312: – 2012 303: – 2010 294: – 2009 285: – 2007 276: – 2005 267: – 2003 258: – 2001 252: – 1999 246: – 1996 240: – 1993 234: – 1990 228: – 1987 222: – 1984 213: – 1981 204: – 1977 195: – 1974 186: – 1971 177: – 1968 116: 107: 97: 90: 83: 76: 69:"Die shrink" 64: 52:Please help 47:verification 44: 18:40 nanometer 1044:UMC 45/40nm 1000:January 18, 912:Moore's law 828:12 nm 818:20 nm 808:28 nm 798:40 nm 788:55 nm 778:80 nm 764:130 nm 754:180 nm 744:250 nm 704:Half-shrink 591:in 2000 to 586:180 nm 476:(sometimes 413:Moore's law 256:130 nm 250:180 nm 244:250 nm 238:350 nm 232:600 nm 226:800 nm 211:1.5 μm 140:fabrication 1073:Categories 923:References 858:4 nm 848:6 nm 838:8 nm 834:10 nm 824:14 nm 814:22 nm 804:32 nm 794:45 nm 784:65 nm 774:90 nm 697:clock rate 680:. In this 664:45 nm 660:32 nm 630:65 nm 623:90 nm 612:45 nm 606:CMOS) and 604:65 nm 597:Cedar Mill 593:90 nm 562:See also: 474:die shrink 407:multi-gate 388:Half-nodes 328:10 nm 319:14 nm 310:22 nm 301:28 nm 292:32 nm 283:45 nm 274:65 nm 265:90 nm 184:10 μm 175:20 μm 80:newspapers 973:Anandtech 864:3 nm 854:5 nm 844:7 nm 671:processor 649:Clarkdale 600:Pentium 4 472:The term 373:2 nm 355:3 nm 346:5 nm 337:7 nm 220:1 μm 202:3 μm 193:6 μm 978:23 March 875:See also 616:Brisbane 552:MediaTek 532:SK Hynix 518:such as 428:Industry 950:26 June 668:Nehalem 656:Core i7 652:Core i5 582:Toshiba 558:Details 536:fabless 520:Samsung 486:scaling 393:Density 366:Future 94:scholar 584:(from 548:NVIDIA 534:, and 530:, and 403:Device 208:  138:device 96:  89:  82:  75:  67:  940:(PDF) 524:Intel 505:nodes 101:JSTOR 87:books 1002:2017 980:2016 952:2019 944:Sony 714:ITRS 654:and 643:and 637:GPUs 589:CMOS 580:and 578:Sony 550:and 528:TSMC 398:CMOS 73:news 718:SoC 641:RAM 633:SOI 628:to 626:SOI 572:'s 546:), 544:ATI 540:AMD 494:die 488:of 480:or 56:by 1075:: 971:. 960:^ 942:. 868:— 554:. 526:, 522:, 370:00 352:00 343:00 334:00 217:00 199:00 190:00 1004:. 982:. 954:. 461:e 454:t 447:v 409:) 405:( 325:0 316:0 307:0 298:0 289:0 280:0 271:0 262:0 181:0 172:0 163:) 159:( 123:) 117:( 112:) 108:( 98:· 91:· 84:· 77:· 50:. 20:)

Index

40 nanometer

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"Die shrink"
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Semiconductor
device
fabrication


MOSFET scaling
process nodes
20 μm
10 μm
6 μm
3 μm
1.5 μm
1 μm
800 nm
600 nm
350 nm
250 nm
180 nm
130 nm
90 nm
65 nm

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