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Computer Architecture and Organisation

Author(s): Ritu Sindhu Sanjeet Choudhary Ms Sweta
556

  • Language:
  • English
  • Genre(s):
  • Teaching & Education
  • ISBN13:
  • 9798891711396
  • ISBN10:
  • 889171139X
  • Format:
  • Paperback
  • Trim:
  • 8x10
  • Pages:
  • 313
  • Publication date:
  • 29-Aug-2024

  •   Available, Ships in 3-5 days
  •   10 Days Replacement Policy

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"Computer Architecture and Organization" is a comprehensive textbook that explores the core principles of modern computer systems, including data representation, instruction set architecture (ISA), and processor design. It delves into CPU, memory organization, and input/output systems, emphasizing the interaction between hardware and software for efficient task execution and system optimization. The book balances theory with practical examples, case studies, and exercises, making it valuable for students and professionals. Topics like parallel processing, pipelining, and memory management are covered in depth, providing essential knowledge for understanding, designing, and enhancing computer systems.

Ritu Sindhu

Ritu Sindhu

Prof. Sindhu is an accomplished academic with over 20 years of experience in teaching and research in Computer Science Engineering. Currently the Associate Dean and Head of the Department at Lingayas Vidyapeeth, she has previously served as Director at Dronacharya College of Engineering.
Sanjeet Choudhary

Sanjeet Choudhary

Mr. Sanjeet Chaudhary is a Junior Office Superintendent at Steel Authority of India Limited in Faridabad, Haryana. He holds a BE in IT from RKDF College, Bhopal, an MBA in HR from Dr. C.V. Raman University, and an M.Tech in CSE from RKDF IST, Bhopal. Passionate about testing and development, he has published numerous research papers in SCOPUS and SCI-indexed journals.
Ms Sweta

Ms Sweta

Sweta is a dedicated research scholar pursuing a Ph.D. in Computer Science and Engineering with a focus on Artificial Intelligence and Machine Learning. She excelled in her Master's program in CSE, earning a gold medal for her specialization in AIML, and was the top graduate in her Bachelor's degree in Information Technology. Her research interests span deep learning, natural language processing, computer vision, and data mining, highlighting her commitment to pushing the boundaries of knowledge in her field.

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