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Ghica, Dan - School of Computer Science, University of Birmingham
Nominal Games and Full Abstraction for the NuCalculus S. Abramsky
Optimizing Parallel Reduction in CUDAOptimizing Parallel Reduction in CUDA Mark Harris
Data-Abstraction Refinement: A Game Semantic Approach
Applications of Game Semantics: From Program Analysis to Hardware Synthesis
Parallel Programming Revision Lecture
Reasoning about Idealized Algol Using Regular Languages
Geometry of Synthesis III: Resource Management Through Type Inference
On-the-Fly Techniques for Games-Based Software Model Checking
A quantitative model of computation Dan R. Ghica
A Regular-Language Model for Hoare-Style Correctness Statements
Programming Research Group A GAMES-BASED FOUNDATION FOR
Syntactic Control of Concurrency # D. R. Ghica, A. S. Murawski and C.H. L. Ong
Function Interface Models for Hardware Compilation Types, Signatures, Protocols
The Regular-Language Semantics of First-Order Idealized Algol
Programming Research Group GAME-BASED SOFTWARE MODEL CHECKING
Angelic Semantics of Fine-Grained Concurrency ? Dan R. Ghica and Andrzej S. Murawski
Geometry of Synthesis II: From Games to Delay-Insensitive Circuits
Semantical Analysis of Speci cation Logic An Operational Approach
MFPS 17 Preliminary Version Regular-Language Semantics for a
Geometry of Synthesis A structured approach to VLSI design
Parallel Programming MSc 06-22755
Parallel Programming GPU Architecture
Synchronous Game Semantics via Round Abstraction
A quantitative model of computation Dan R. Ghica
On the Compositionality of Round Abstraction Extended Abstract
Software Tools for Technology Transfer manuscript No. (will be inserted by the editor)
Clipping: A Semantics-Directed Syntactic Approximation Dan R. Ghica
Compositional Predicate Abstraction from Game Semantics
Angelic Semantics of Fine-Grained Concurrency
A GAMES-BASED FOUNDATION FOR COMPOSITIONAL SOFTWARE MODEL CHECKING
The Regular-Language Semantics of First-Order Idealized Algol
Parallel Programming The Parallel Programming Landscape
N-Body Problems Parallel programming
Parallel Sorting Parallel Programming
Case study: Matrix Transpose
Parallel Programming Assessed Assignment 1
CUDA Memory Model Some material David Kirk, NVIDIA and Wen-mei W. Hwu, 2007-2009 (used with permission)
CUDA Threads some material David Kirk, NVIDIA and Wen-mei W. Hwu, 2007-2009 (used with permission)
Parallel Programming Lab 1 The purpose of this lab is to familiarise yourself with the lab setup, especially the following
Syntactic Control of Concurrency D. R. Ghica, A. S. Murawski and C.-H. L. Ong
Compositional Model Extraction for Higher-Order Concurrent Programs
Parallel Programming Lab 2 The purpose of this lab exercise is to familiarize yourself with the basics of CUDA
From SMPs to FPGAs: Multi-Target Data-Parallel Programming
Low-Latency Synchronous Representations of Asynchronous Processes
Geometry of Synthesis IV Compiling Affine Recursion into Static Hardware
Function Interface Models for Hardware Compilation