This article contains content that is written like an advertisement .(July 2015) |
Type | Public (TSX-V: AXE) |
---|---|
Industry | Oil Sands Technology |
Founded | 2004 |
Headquarters | Calgary, Alberta, Canada |
Key people | Michal Okoniewski, Founder & CSO Geoff Clark, CEO Mike Tourigny, COO Tracy Grierson, CFO |
Products | RF XL, Seismic Imaging Software |
Revenue | CAD$740.09k (2021) |
Number of employees | 12 (Q4 2018) |
Website | https://www.acceleware.com |
Acceleware Ltd. (TSX-V: AXE) is a Canadian innovator of clean-tech oil and gas technologies composed of two business units: Radio Frequency (RF) Enhanced Oil Recovery and Seismic Imaging Software. The company is currently running a commercial-scale, RF XL pilot project at Marwayne, Alberta, Canada, to advance and validate its heavy oil and oil sands electrification technology. Acceleware's seismic imaging software solutions offer imaging for oil exploration in complex geologies.
Acceleware is part of a larger computing industry trend towards parallel processing via multi-core and massively-parallel GPU hardware and software architectures. [1]
Acceleware software can be used in the following industries: electromagnetics, oil and gas, medical imaging, security imaging, industrial product design, consumer product design, financial research, and academic research.
Acceleware was founded in 2004, in Calgary, Alberta, Canada. Extensive research on special-purpose hardware was conducted, and Acceleware developed competence-accelerating scientific computing software applications. Graphics processing units (GPUs) became the main hardware focus, as their parallel processing capabilities and extremely high memory bandwidth made them superior for accelerating scientific applications. [2]
GPU Computing (using a graphics processing unit to compute mathematical algorithms), parallelizes complex tasks so that many equations may be calculated, at one time, as opposed to CPU computing which requires that these tasks be done in sequence. This parallelization results in a reduction of the time and costs required for highly complex and intensive simulations. [3]
In January 2008, Acceleware entered into the seismic market, providing hardware acceleration for seismic migrations,[ clarification needed ] a logical progression as they are based in Calgary, Alberta, Canada, one of the world's hubs for oil and gas activity. [4]
In July 2008, market conditions and lack of available venture capital forced Acceleware to scale back its growth plans and reduce staff. Today, the company remains focused on the electromagnetics, seismic, and engineering simulation markets. It has also adopted a more software-oriented process now that GPU computing technology has become more accepted and generally available. [5]
In October 2018, Acceleware entered into an agreement with AMD to provide them with Software Engineering Expertise and Consulting Services. [6]
In November 2019, Acceleware secured an investment from a Calgary-based oil sands producer for the RF XL pilot test of its radio frequency heating system. [7]
During the COVID-19 pandemic, Acceleware participated in the Faster, Together campaign to increase acceptance of COVID-19 vaccines. [8] [9]
Acceleware products are software libraries created to utilize the parallel processing capabilities of Nvidia GPUs to allow consumers to process difficult simulations, migrations, and other engineering tasks. They are offered as an SDK/API to software integrators or as a plug-in option to end users.
A supercomputer is a computer with a high level of performance as compared to a general-purpose computer. The performance of a supercomputer is commonly measured in floating-point operations per second (FLOPS) instead of million instructions per second (MIPS). Since 2017, there have existed supercomputers which can perform over 1017 FLOPS (a hundred quadrillion FLOPS, 100 petaFLOPS or 100 PFLOPS). For comparison, a desktop computer has performance in the range of hundreds of gigaFLOPS (1011) to tens of teraFLOPS (1013). Since November 2017, all of the world's fastest 500 supercomputers run on Linux-based operating systems. Additional research is being conducted in the United States, the European Union, Taiwan, Japan, and China to build faster, more powerful and technologically superior exascale supercomputers.
Nvidia Corporation is an American multinational technology company incorporated in Delaware and based in Santa Clara, California. It is a software and fabless company which designs graphics processing units (GPUs), application programming interface (APIs) for data science and high-performance computing as well as system on a chip units (SoCs) for the mobile computing and automotive market. Nvidia is a dominant supplier of artificial intelligence hardware and software. Its professional line of GPUs are used in workstations for applications in such fields as architecture, engineering and construction, media and entertainment, automotive, scientific research, and manufacturing design.
GROMACS is a molecular dynamics package mainly designed for simulations of proteins, lipids, and nucleic acids. It was originally developed in the Biophysical Chemistry department of University of Groningen, and is now maintained by contributors in universities and research centers worldwide. GROMACS is one of the fastest and most popular software packages available, and can run on central processing units (CPUs) and graphics processing units (GPUs). It is free, open-source software released under the GNU General Public License (GPL), and starting with version 4.6, the GNU Lesser General Public License (LGPL).
A graphics processing unit (GPU) is a specialized electronic circuit initially designed to accelerate computer graphics and image processing. After their initial design, GPUs were found to be useful for non-graphic calculations involving embarrassingly parallel problems due to their parallel structure. Other non-graphical uses include the training of neural networks and cryptocurrency mining.
General-purpose computing on graphics processing units is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU). The use of multiple video cards in one computer, or large numbers of graphics chips, further parallelizes the already parallel nature of graphics processing.
In computer science, stream processing is a programming paradigm which views streams, or sequences of events in time, as the central input and output objects of computation. Stream processing encompasses dataflow programming, reactive programming, and distributed data processing. Stream processing systems aim to expose parallel processing for data streams and rely on streaming algorithms for efficient implementation. The software stack for these systems includes components such as programming models and query languages, for expressing computation; stream management systems, for distribution and scheduling; and hardware components for acceleration including floating-point units, graphics processing units, and field-programmable gate arrays.
Dassault Systèmes Simulia Corp. is a computer-aided engineering (CAE) vendor. Formerly known as Abaqus Inc. and previously Hibbitt, Karlsson & Sorensen, Inc., (HKS), the company was founded in 1978 by David Hibbitt, Bengt Karlsson and Paul Sorensen, and has its headquarters in Providence, Rhode Island.
The Texas Advanced Computing Center (TACC) at the University of Texas at Austin, United States, is an advanced computing research center that is based on comprehensive advanced computing resources and supports services to researchers in Texas and across the U.S. The mission of TACC is to enable discoveries that advance science and society through the application of advanced computing technologies. Specializing in high performance computing, scientific visualization, data analysis & storage systems, software, research & development and portal interfaces, TACC deploys and operates advanced computational infrastructure to enable the research activities of faculty, staff, and students of UT Austin. TACC also provides consulting, technical documentation, and training to support researchers who use these resources. TACC staff members conduct research and development in applications and algorithms, computing systems design/architecture, and programming tools and environments.
CUDA is a proprietary and closed source parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for general purpose processing, an approach called general-purpose computing on GPUs (GPGPU). CUDA is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements, for the execution of compute kernels.
Arm Holdings plc is a British semiconductor and software design company based in Cambridge, England, whose primary business is the design of central processing unit (CPU) cores that implement the ARM architecture family of instruction sets. It also designs other chips, provides software development tools under the DS-5, RealView and Keil brands, and provides systems and platforms, system-on-a-chip (SoC) infrastructure and software. As a "holding" company, it also holds shares of other companies. Since 2016, it has been owned by Japanese conglomerate SoftBank Group.
Parallels Workstation Extreme is the first workstation virtualization product that lets users virtualize graphics-intensive software programs such as geophysical simulation, financial analysis, and digital content creation programs commonly used by engineers and digital animators in virtual machines on Windows and Linux hosts.
Nvidia Tesla was the name of Nvidia's line of products targeted at stream processing or general-purpose graphics processing units (GPGPU), named after pioneering electrical engineer Nikola Tesla. Its products began using GPUs from the G80 series, and have continued to accompany the release of new chips. They are programmable using the CUDA or OpenCL APIs.
Pascal is the codename for a GPU microarchitecture developed by Nvidia, as the successor to the Maxwell architecture. The architecture was first introduced in April 2016 with the release of the Tesla P100 (GP100) on April 5, 2016, and is primarily used in the GeForce 10 series, starting with the GeForce GTX 1080 and GTX 1070, which were released on May 17, 2016, and June 10, 2016, respectively. Pascal was manufactured using TSMC's 16 nm FinFET process, and later Samsung's 14 nm FinFET process.
GPI-Space is a parallel programming development software, developed by the Fraunhofer Institute for Industrial Mathematics (ITWM). The main concept behind the software is separation of domain and HPC knowledge and leaving each part to the respective experts while the GPI-Space as framework integrates both parts together.
GPUOpen is a middleware software suite originally developed by AMD's Radeon Technologies Group that offers advanced visual effects for computer games. It was released in 2016. GPUOpen serves as an alternative to, and a direct competitor of Nvidia GameWorks. GPUOpen is similar to GameWorks in that it encompasses several different graphics technologies as its main components that were previously independent and separate from one another. However, GPUOpen is entirely open source software, unlike GameWorks which is proprietary and closed.
Bright Computing, Inc. is a developer of software for deploying and managing high-performance (HPC) clusters, Kubernetes clusters, and OpenStack private clouds in on-premises data centers as well as in the public cloud.
An AI accelerator is a class of specialized hardware accelerator or computer system designed to accelerate artificial intelligence and machine learning applications, including artificial neural networks and machine vision. Typical applications include algorithms for robotics, Internet of Things, and other data-intensive or sensor-driven tasks. They are often manycore designs and generally focus on low-precision arithmetic, novel dataflow architectures or in-memory computing capability. As of 2018, a typical AI integrated circuit chip contains billions of MOSFET transistors. A number of vendor-specific terms exist for devices in this category, and it is an emerging technology without a dominant design.
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