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- Parallel algorithms
- scheduling techniques
- Multi-core programming paradigms
- Multi-core and emerging architectures
- SIMD, MIMD, vector processing and GPGPUs
- Data-parallel techniques
- Shared-memory techniques
- Message-passing techniques
Concurrency homework help topics include:
- Structures (ready list, process control blocks, and so forth) ,Need for concurrency within the framework of an operating system
- Dispatching and context switching ,techniques for achieving synchronization in an operating system
- Implementing synchronization primitives ,Multiprocessor issues (spin-locks, reentrancy) (cross reference SF/Parallelism
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- Potential run-time problems arising from the concurrent operation of many separate tasks ,Summarize the range of mechanisms that can be employed at the operating system level to realize
concurrent systems and describe the benefits of each
- States that a task may pass through and the data structures needed to support the management of many tasks Implement a semaphore using OS primitives) interrupts, dispatching, and context switching to support concurrency in an operating system
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Topics like Create state and transition diagrams for simple problem domains & the assignment help on these topics is really helpful if you are struggling with the complex problems.
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- Concurrency , Modeling Concurrent Systems , Java threads , Java memory model , Synchronization: locking (synchronized) and signaling (wait/notify)
- Design forces (safety, liveness/deadlock, performance, reusability) , Threaded programming patterns , Synchronizers , Advanced
- Locking , Non-blocking , data structures , Event-based programming (Java NIO, Android) , Distributed Programming (RMI)
- Ubiquity of concurrent systems , role in modern computer systems, Petri nets, basic net classes and modelling examples, Petri net behaviours, concurrency , causality, Analysis, boundedness or safeness, deadlocks, mutual exclusion, serialisability, guarantee of delivery.
- Tool Support, simulation, model checking , visualization, web transactions, communication protocols, Java threads, circuits, genetic regulatory networks, Consolidation, Concurrency and parallelism, applications to software design, Identifying parallelisable problems , parallelisation techniques, Parallel algorithms , Common faults in concurrent and parallel programs, Complexity techniques.
- performance measurement techniques, scheduling techniques, Multi-core and emerging architectures, Multi-core programming paradigms, Data-parallel techniques, SIMD, MIMD, vector processing , GPGPUs, Shared-memory techniques, conventional threads-and-locks, structured parallelism, transactional memory, Message-passing techniques, process-oriented programming, mailboxes, tuplespaces.
- Deterministic processes, traces, operational semantics, prefixing, choice, concurrency and communication, Nondeterminism, failures and divergences, nondeterministic choice, hiding and interleaving, operators, pipes and sequential composition, Refinement, specification and proof, Process algebra, equational and inequational reasoning.
Few Topics are:
- programming multi-core/many-core and other parallel architectures
- identification and use of parallel patterns
- use of structured parallelism to implement task and data parallelism
- key implementation issues
- task identification
- garbage collection
- task placement
- performance monitoring and debugging.