Granularity (parallel computing)

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Related publications (30)

Scaling and Resilience in Numerical Algorithms for Exascale Computing

Allan Svejstrup Nielsen

The first Petascale supercomputer, the IBM Roadrunner, went online in 2008. Ten years later, the community is now looking ahead to a new generation of Exascale machines. During the decade that has passed, several hundred Petascale capable machines have bee ...

EPFL2018

Fast Energy Estimation Through Partial Execution of HPC Applications

Marina Zapater Sancho, José Luis Ayala Rodrigo

In order to optimize the energy use of servers in Data Centers, techniques such as power capping or power budgeting are usually deployed. These techniques rely on the prediction of the power and execution time of applications. These data are obtained via d ...

IEEE2018

A GPU-Friendly Skiplist Algorithm

Nachshon Cohen

We propose a design for a fine-grained lock-based skiplist optimized for Graphics Processing Units (GPUs). While GPUs are often used to accelerate streaming parallel computations, it remains a significant challenge to efficiently offload concurrent computa ...

Ieee2017

Efficient Hardware Design Of Iterative Stencil Loops

David Atienza Alonso, Ivan Beretta, Alessandro Antonio Nacci

A large number of algorithms for multidimensional signals processing and scientific computation come in the form of iterative stencil loops (ISLs), whose data dependencies span across multiple iterations. Because of their complex inner structure, automatic ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Parallel Inverse Kinematics for Multithreaded Architectures

Ronan Boulic, Benoît Le Callennec, Mentar Mahmudi, Pawan Kumar Harish

In this article, we present a parallel prioritized Jacobian-based inverse kinematics algorithm for multithreaded architectures. We solve damped least squares inverse kinematics using a parallel line search by identifying and sampling critical input paramet ...

Association for Computing Machinery2016

Parallelizing the Chambolle Algorithm for Performance Optimized Mapping on FPGA devices

David Atienza Alonso, Abdulkadir Akin, Ivan Beretta, Alessandro Antonio Nacci

The performance and the efficiency of recent computing platforms have been deeply influenced by the widespread adoption of hardware accelerators, such as Graphics Processing Units (GPUs) or Field Programmable Gate Arrays (FPGAs), which are often employed t ...

Assoc Computing Machinery2016

DynOR: A 32-bit Microprocessor in 28 nm FD-SOI with Cycle-By-Cycle Dynamic Clock Adjustment

Andreas Peter Burg, Adam Shmuel Teman, Thomas Christoph Müller, Andrea Bonetti, Jeremy Hugues-Felix Constantin, Lorenz Flavio Schmid

This paper presents DynOR, a 32-bit 6-stage OpenRISC microprocessor with dynamic clock adjustment. To alleviate the issue of unused dynamic timing margins, the clock period of the processor is adjusted on a cycle-by-cycle level, based on the instruction ty ...

Ieee2016

Characterization of the Impact of Hardware Islands on OLTP

Anastasia Ailamaki, Miguel Sérgio De Oliveira Branco, Pinar Tözün, Danica Porobic, Ippokratis Pandis

Modern hardware is abundantly parallel and increasingly heterogeneous. The numerous processing cores have non-uniform access latencies to the main memory and processor caches, which causes variability in the communication costs. Unfortunately, database sys ...

Springer Verlag2016

Execution Trace Graph Based Multi-criteria Partitioning of Stream Programs

Marco Mattavelli, Endri Bezati, Simone Casale Brunet, Malgorzata Maria Michalska

One of the problems proven to be NP-hard in the field of many-core architectures is the partitioning of stream programs. In order to maximize the execution parallelism and obtain the maximal data throughput for a streaming application it is essential to fi ...

2015

Safety, Liveness and Parallelism in Concurrent Computing

Victor Bushkov

The correctness of a shared object, which can be accessed by several processes concurrently, is specified through two different kinds of properties - safety and liveness. When implementing a shared object it is important to specify its correctness in a suc ...

EPFL2015

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