Parallel Complexity Deadlock Detection by Spirakis Paul (3 results)

- Softcover
Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contact seller5-star sellerCondition: New
£ 20.78
Free ShippingShips within U.S.A.Quantity: 15 available
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

- Softcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
Contact seller5-star sellerCondition: New
£ 20.08
£ 3.29 shippingShips from United Kingdom to U.S.A.Quantity: 15 available
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

- Softcover
- Print on Demand
Seller: Forgotten Books, London, United KingdomForgotten Books
Contact seller5-star sellerCondition: New
£ 13.02
Free ShippingShips from United Kingdom to U.S.A.Quantity: Over 20 available
Paperback. Condition: New. Print on Demand. This book investigates the parallel complexity of deadlock detection in systems where multiple shared resources are accessed by several processes, each controlling exclusive resource units. The author examines the possibility of creating parallel algorithms to detect deadlocks in such…systems, despite similar graph problems having efficient parallel solutions. Through a series of theorems and proofs, the author demonstrates that the general deadlock detection problem is complete in polynomial time under log-space reductions. However, the author also finds that when the problem is restricted (e.g., single-unit requests or single-unit resources), it can be solved efficiently in parallel. The book concludes that while general deadlock detection may not be efficiently parallelizable, restricted versions are, providing valuable insights for designing parallel operating systems. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.