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Block-Floating-Point Enhanced MMSE Filter Matrix Computation for MIMO-OFDM Communication Systems

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BRIEF: Computing a Local Binary Descriptor Very Fast

Pascal Fua, Vincent Lepetit, Christoph Strecha, Michael Calonder, Tomasz Piotr Trzcinski, Mustafa Özuysal

Binary descriptors are becoming increasingly popular as a means to compare feature points very fast and while requiring comparatively small amounts of memory. The typical approach to creating them is to first compute floating-point ones, using an algorithm ...

Institute of Electrical and Electronics Engineers2012

Resolution of Nested Neuronal Representations Can Be Exponential in the Number of Neurons

Alexander Mathis

Collective computation is typically polynomial in the number of computational elements, such as transistors or neurons, whether one considers the storage capacity of a memory device or the number of floating-point operations per second of a CPU. However, w ...

2012

Polar Codes: Robustness of the Successive Cancellation Decoder with Respect to Quantization

Rüdiger Urbanke, Seyed Hamed Hassani

Polar codes provably achieve the capacity of a wide array of channels under successive decoding. This assumes infinite precision arithmetic. Given the successive nature of the decoding algorithm, one might worry about the sensitivity of the performance to ...

2012

Miniboxing: An Encoding for Specialization

Cristian Talau

In the presence of parametric polymorphism, erasure-based languages such as Java and Scala handle primitives (boolean values, integers and floating point numbers) in a suboptimal way: in order to provide a uniform representation on the low level, all primi ...

2012

Trustworthy Numerical Computation in Scala

Viktor Kuncak, Eva Darulova

Modern computing has adopted the floating point type as a default way to describe computations with real numbers. Thanks to dedicated hardware support, such computations are efficient on modern architectures. However, rigorous reasoning about the resulting ...

2011

HW-SW Implementation of a Decoupled FPU for ARM-based Cortex-M1 SoCs in FPGAs

Giovanni De Micheli, Jaime Joven Murillo

Nowadays industrial monoprocessor and multipro- cessor systems make use of hardware floating-point units (FPUs) to provide software acceleration and better precision due to the necessity to compute complex software applications. This paper presents the des ...

2011

Colourful FKS subtraction

I formulate in a colour-friendly way the FKS method for the computation of QCD cross sections at the next-to-leading order accuracy. This is achieved through the definition of subtraction terms for squared matrix elements, constructed with single colour-dr ...

2011

Proving memory safety of floating-point computations by combining static and dynamic program analysis

Johannes Kinder

Whitebox fuzzing is a novel form of security testing based on dynamic symbolic execution and constraint solving. Over the last couple of years, whitebox fuzzers have found many new security vulnerabilities (buffer overflows) in Windows and Linux applicatio ...

ACM Press2010

On Rigorous Numerical Computation as a Scala Library

Viktor Kuncak, Eva Darulova

Modern programming languages have adopted the floating point type as a way to describe computations with real numbers. Thanks to the hardware support, such computations are efficient on modern architectures. However, rigorous reasoning about the resulting ...

2010

Memory Safety of Floating-Point Computations

Johannes Kinder

Concepts and technologies are described herein for determining memory safety of floating-point computations. The concepts and technologies described herein analyze code to determine if any floating-point computations exist in the code, and if so, if the fl ...

US Patent & Trademark Office2010