High performance computing challenges for future systems
High performance computing--from PCs to supercomputers--is in a confused state: which architecture, how much parallelism, which software, and when to innovate are all commonly heard questions. The confusion ranges across industry, government, and academia; technical difficulties and policy issues ar...
Đã lưu trong:
| Tác giả chính: | |
|---|---|
| Tác giả khác: | |
| Ngôn ngữ: | Undetermined English |
| Được phát hành: |
New York
Oxford University Press
1996
|
| Những chủ đề: | |
| Các nhãn: |
Thêm thẻ
Không có thẻ, Là người đầu tiên thẻ bản ghi này!
|
| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Trà Vinh |
|---|
| LEADER | 01871nam a2200253Ia 4500 | ||
|---|---|---|---|
| 001 | TVU_13160 | ||
| 008 | 210423s9999 xx 000 0 und d | ||
| 020 | |a 195095510 | ||
| 041 | |a eng | ||
| 082 | |a 4.35 | ||
| 082 | |b D111 | ||
| 100 | |a Kuck, David J. | ||
| 245 | 0 | |a High performance computing | |
| 245 | 0 | |b challenges for future systems | |
| 245 | 0 | |c David J. Kuck | |
| 260 | |a New York | ||
| 260 | |b Oxford University Press | ||
| 260 | |c 1996 | ||
| 300 | |a xvi, 320 p. | ||
| 300 | |c 24 cm | ||
| 520 | |a High performance computing--from PCs to supercomputers--is in a confused state: which architecture, how much parallelism, which software, and when to innovate are all commonly heard questions. The confusion ranges across industry, government, and academia; technical difficulties and policy issues are closely linked. This text clarifies a number of technical points and policy directions in proposing steps toward practical processing. Computing as a whole is at a crossroads because hardware technology appears unable to provide continuing speed increases; parallel architectures and software are not sufficiently developed to provide the practical solutions that have seemed tantalizingly close for some time. After more than a decade of commercial development, no standard or widely accepted systems have emerged. This text defines practical parallelism tests and suggests how they can be passed, by giving specific technical suggestions and by outlining policy steps that should be taken. Students in high performance computing courses will benefit from the text's discussion of these major issues, as they will be dealing with these problems now and in the future. | ||
| 650 | |a Ordinateurs; Traitement des données; SGBD = Systèmes de gestion de bases de données | ||
| 700 | |a David J. Kuck | ||
| 980 | |a Trung tâm Học liệu Trường Đại học Trà Vinh | ||