allinea - Now part of ARM


June 15, 2017

Allinea software, now part of ARM, will preview the latest update to its powerful toolsuite for developing and optimizing high performance and scientific applications at ISC17 supercomputing exhibition, June 19 to 21, Frankfurt.

In V7.1, Allinea provides the most comprehensive offer yet for debugging, profiling and analyzing high performance applications, supporting the widest range of cross-platform technologies for this specialist market with advanced features, all in one product range.

May 5, 2017

Senior Director of HPC Tools at ARM and founder of Allinea (now part of ARM), Dr David Lecomber, joins prominent figures in the HPC vendor community to take part in an informative Round Table on CUDA Development tools as part of this year’s GTC Conference. The Round Table takes place on Tuesday May 9 at 2pm and gathers major CUDA Developer Tools vendors, including NVIDIA and Allinea, a trusted provider of specialist tools for debugging and profiling parallel software used for HPC code development and optimization on CUDA.

March 21, 2017

Allinea Forge, a cross platform parallel code development suite with a combined debugger and profiler, is helping to speed up exciting computational cardiology research at the Medical University of Graz.

February 9, 2017

Allinea Software has launched the first update to its well-established toolset for debugging, profiling and optimizing high performance code since being acquired by ARM in December 2016.

Mark O’Connor, ARM Director, Product Management HPC tools, said: “The V7.0 release provides new integrations for the Allinea Forge debugger and profiler and Allinea Performance Reports and will mean more efficient code development and optimization for users, especially those wishing to take software performance to new levels across Xeon Phi, CUDA and IBM Power platforms”.

December 9, 2016

As proud sponsors of the Student Cluster Competition (SCC) this year, Allinea Software extends its congratulations to China’s University of Science and Technology, for coming top of the leader-board in the 48 hour marathon event at SC16 in Utah, this November.  This year turned out to be a significant SCC by any standards, firstly in marking the 10th anniversary of the international supercomputing competition and secondly in producing some remarkable achievements in terms of HPL LINPACK progress recorded with the winning team more than doubling the previous record breaking 12.57

November 10, 2016

Allinea MAP, the leading profiling tool from Allinea Software, is speeding up applications for the Earlham Institute, a life science research centre based in Norwich, UK, which is applying computational science and biotechnology to help find the answers to pressing world food problems.

October 12, 2016
Helping Science on First Major Intel Xeon Phi® Deployments.

Debugging and Optimizing Tools Enable Application Success.

Allinea Software announces that its tool suite for developing and optimizing high performance code is already deployed and supporting some of the major research labs in moving to the newest Intel Xeon Phi® Processor, KNL.

October 5, 2016

Helping a cluster of Austrian universities to put the spotlight on code performance and modernization.

The Vienna Scientific Cluster (VSC) will facilitate several leaps in computational research undertaken across its partner universities by deploying Allinea software tools for high performance software development and optimization. VSC is using the Allinea Forge combined debugger and profiler and the Allinea Performance Reports analysis tool to provide faster insight into code performance issues for students and researchers across consortium partner universities.

September 28, 2016

Allinea Software today announces availability of its new software release, version 6.1, which offers full support for programming parallel code on the Pascal™ GPU architecture, CUDA™ 8 from NVIDIA®.

Customers can now take advantage of the latest developments in GPU technology to advance their work, whether through traditional areas of digital research such as simulations or for newer applications such as deep learning. GPU and hybrid CPU/GPU systems can be a critical element in accelerating performance.