Titlebook: ;

Ornithologist

Alfalfa: Distributed graph reduction on a hypercube multiprocessor,of both graph reduction and stack oriented execution. Alfalfa consists of two major components, a compiler and a run-time system. The source language, Alfl, contains no constructs that allow the programmer to specify parallelism or synchronization and thus it is the task of the compiler to detect th

Encoding

Parallel graph reduction on a supercomputer: A status report,presently augmented by the functional language compiler of the ALFALFA system. Admittedly, parallel graph reduction is hardly a novel idea. The interesting notion is the provision of a parallel execution environment sufficiently powerful to support development of large prototypical scientific and sy

NAG

Target code generation from G-machine code,ode generation from G-machine code is performed in a compiler for Lazy ML. We briefly review the G-machine, and the compiler phases preceding the target code generation. Two different target code generation methods are described, as well as essential parts of the run-time system. The first target co

altruism

LIMN

Cosmopolitan

几何学家

Orchiectomy

Parallel garbage collection for graph machines,ve, because only the resident data items are scanned, irrespective of the amount of real activity. Parallel mark-sweep algorithms are also unacceptable because they require very fine-grained synchronization with the mutator, therefore slowing down the computational process..We have presented a novel

impale

ENACT

A flexible architectural study methodology,f example programs are generated by the emulator. The execution method of the emulator exercises all possible parallelism available in the execution model under study. The trace of each program execution is then reduced to an “architecturally neutral” precedence graph. The precedence graph can then