The recently invented thick control flow (TCF) model packs together an unbounded number of fibers, thread-like computational entities, flowing through the same control path. This promises to simplify parallel programming by partially eliminating looping and artificial thread arithmetics. In this paper we outline an architecture for efficiently executing programs written for the TCF model. It features scalable latency hiding via replication of instructions, radical synchronization cost reduction via a wave-based synchronization mechanism, and improved low-level parallelism exploitation via chaining of functional units. Replication of instructions is supported by a dynamic multithreading-like mechanism, which saves the fiber-wise data into sp...
With ubiquitous multi-core architectures, a major challenge is how to effectively use these machines...
The need for high-performance computing and low-power operation has led to the emergence of new proc...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
The recently invented thick control flow (TCF) model packs together an unbounded number of fibers,...
Multioperations are primitives of parallel computation for which processors perform a reduction, e.g...
The Thick Control Flow (TCF) model simplifies parallel programming by bundling computations with the...
In the recent years the search for scalability in terms of computing power has led to very complex p...
The Thick Control Flow (TCF) model packs together self-similar computations to simplify parallel pro...
The Thick Control Flow (TCF) model packs together selfsimilarcomputations to simplify parallel progr...
Multioperations are primitives of parallel computation by which threads perform reductions, e.g., ad...
The main problems with current multicore architectures are that they are difficult to program due to...
Commercial multicore central processing units (CPU) integrate a number of processor cores on a singl...
This thesis introduces a parallel computer architecture known as task flow. Simple replicated cells ...
Spatial architecture is a high-performance architecture that uses control flow graphs and data flow ...
The primary goal of this project is to identify the fiberflow paradigm of processor organization as ...
With ubiquitous multi-core architectures, a major challenge is how to effectively use these machines...
The need for high-performance computing and low-power operation has led to the emergence of new proc...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...
The recently invented thick control flow (TCF) model packs together an unbounded number of fibers,...
Multioperations are primitives of parallel computation for which processors perform a reduction, e.g...
The Thick Control Flow (TCF) model simplifies parallel programming by bundling computations with the...
In the recent years the search for scalability in terms of computing power has led to very complex p...
The Thick Control Flow (TCF) model packs together self-similar computations to simplify parallel pro...
The Thick Control Flow (TCF) model packs together selfsimilarcomputations to simplify parallel progr...
Multioperations are primitives of parallel computation by which threads perform reductions, e.g., ad...
The main problems with current multicore architectures are that they are difficult to program due to...
Commercial multicore central processing units (CPU) integrate a number of processor cores on a singl...
This thesis introduces a parallel computer architecture known as task flow. Simple replicated cells ...
Spatial architecture is a high-performance architecture that uses control flow graphs and data flow ...
The primary goal of this project is to identify the fiberflow paradigm of processor organization as ...
With ubiquitous multi-core architectures, a major challenge is how to effectively use these machines...
The need for high-performance computing and low-power operation has led to the emergence of new proc...
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Compute...