Introduction to parallel programming
Material type: TextPublication details: UK Cambridge University press 2022Description: 282 pISBN: 9781009071314Subject(s): Parallel programming (Computer science) | COMPUTERS / GeneralDDC classification: 005.275 Summary: "Traditionally computers have been machines that operate processes in parallel. Even the earliest computers were made from parts that worked together, collaboratively and simultaneously. Processors today consist of more than a billion transistors, many of which are active simultaneously while executing a program. In modern computer science, there exists no truly sequential computing system. While sequential programming can still be used due to the parallelism built into the compilers and OS, for most advanced programming, parallel programming is rapidly becoming essential. This is most evident in modern application domains like scientific computation, data science, machine intelligence, etc. As a result, parallel programming is increasingly being offered as an elective course in most undergraduate computer science and engineering programs. This book intends to introduce a beginner to the gamut of parallel programming and will be useful for undergraduate students of computer science and engineering"--Item type | Current library | Collection | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
BK | Kannur University Central Library Stack | Stack | 005.275 SUB/I (Browse shelf (Opens below)) | Checked out to Sanil Shanker (8386) | 13/05/2024 | 58885 |
"Traditionally computers have been machines that operate processes in parallel. Even the earliest computers were made from parts that worked together, collaboratively and simultaneously. Processors today consist of more than a billion transistors, many of which are active simultaneously while executing a program. In modern computer science, there exists no truly sequential computing system. While sequential programming can still be used due to the parallelism built into the compilers and OS, for most advanced programming, parallel programming is rapidly becoming essential. This is most evident in modern application domains like scientific computation, data science, machine intelligence, etc. As a result, parallel programming is increasingly being offered as an elective course in most undergraduate computer science and engineering programs. This book intends to introduce a beginner to the gamut of parallel programming and will be useful for undergraduate students of computer science and engineering"--
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