Theory and Practice of Parallel Programming

Time and information in sequential and concurrent computation.- Notes on P-algebra 1: Process structure.- Simulating guarded programs in linear logic.- Sharing mutable objects and controlling groups of tasks in a concurrent and distributed language.- Multi-threaded PaiLisp with granularity adaptive parallel execution.- StackThreads: An abstract machine for scheduling fine-grain threads on stock CPUs.- Higher-order concurrent linear logic programming.- A parallel object-oriented language OCore.- Concurrent objects in a process calculus.- A formalism for remotely interacting processes.- ProCSuS: A meta system for concurrent process calculi based on SOS.- First-class synchronous operations.- Self-describing files + smart modules= parallel program visualization.- A performance debugger for parallel logic programming language fleng.- First class continuation facilities in concurrent programming language Harmony/2.- Locality abstractions for parallel and distributed computing.- An algorithm for efficient global garbage collection on massively parallel computers (extend abstract).- I/O mode analysis in concurrent logic programming.- Advanced component interface specification.- Graph notation for concurrent combinators.- A calculus for exploiting data parallelism on recursively defined data.- The data-parallel C language NCX and its implementation strategies.- A dataflow-based massively parallel programming language “V” and its implementation on a stock parallel machine.- Programming with distributed data structure for EM-X multiprocessor.