Acceleware Releases Results for the Second Quarter of Fiscal 2014

August 21, 2014

CALGARY, Alberta, Aug. 21 — Acceleware Ltd., a leading developer of high performance computing applications, today announced results for the three and six months ended June 30, 2014 (all figures are in Canadian dollars unless otherwise noted). During the second quarter of 2014, the Company achieved a significant increase in software revenue while reducing its total comprehensive loss compared to the second quarter of 2013.

During the three months ended June 30, 2014 (“Q2 2014”), Acceleware reduced its loss from operations and total comprehensive loss compared to the three months ended June 30, 2013 (“Q2 2013”). The improvement was a result of lower expenses and was achieved despite lower revenue. Loss from operations and total comprehensive loss increased from the most recently completed quarter ended March 31, 2014 (“Q1 2014”) due to lower revenue. In Q2 2014, Acceleware recorded software revenue (product sales plus maintenance revenue) in excess of 50% of total revenue for the quarter. The achievement is a direct result of higher seismic imaging software sales. Product sales rose 535% in Q2 2014 compared to Q2 2013, while maintenance revenue grew 22% in Q2 2014 compared to Q2 2013.

Despite the increased software revenue, Q2 2014 sales fell 21% to $655,084 from $824,783 in Q2 2013 on lower consulting revenue. Sales also fell 3% from $672,984 recorded in Q1 2014 also on lower consulting revenue. For the six months ended June 30, 2014, revenue declined 25% to $1,328,068 compared to $1,777,810 recorded in the six months ended June 30, 2013, again due to lower consulting revenue. Product revenue rose 95% in the six months ended June 30, 2014 compared to the six months ended June 30, 2013, while maintenance revenue increased 34% over the same period

While revenue has declined, Acceleware also reduced expenses to limit the impact on profitability. During the three months ended June 30, 2014, Acceleware reduced total comprehensive loss 17% to $72,530 compared to $87,290 for the three months ended June 30, 2013. Total comprehensive loss in Q2 2014 increased 108% compared to Q1 2014 due to lower revenue and higher general and administrative expenses, particularly loss on foreign exchange. During the six months ended June 30, 2014, loss from operations increased 17% to $107,903 compared to $70,810 for the six months ended June 30, 2013. The increase is a result of lower revenue. Total comprehensive loss increased 580% for the six months ended June 30, 2014 to $107,903 compared to $15,798 for the six months ended June 30, 2013 due to lower revenue and other income.

At June 30, 2014, Acceleware had $191,483 in working capital compared to $212,724 as at December 31, 2013. Cash and cash equivalents have declined since December 31, 2013 from $400,810 to $322,565 as at June 30, 2014. At June 30, 2014 the Company had $33,540 (December 31, 2013 – $46,411) in combined short-term and long-term debt in the form of finance leases. The decrease in working capital is related to an increase in accounts payable and accrued liabilities, an increase in deferred revenue and lower cash. On August 14, 2014 the Company completed a private placement of 10,240,000 common shares at $0.05 per share, for gross proceeds of $512,000. The financing significantly increases the Company’s cash and working capital. The Company actively manages its cash flow and investment in new products to match its cash requirements to cash generated from operations. In order to maximize cash generated from operations, the Company plans to continue to focus on high gross margin revenue streams such as those from software products, consulting services and training; focus on selected core vertical markets; minimize operating expenses where possible; and limit capital expenditure.

Additional information, including the unaudited interim condensed financial statements for the three and six months ended June 30, 2014 and the accompanying notes and management’s discussion and analysis relating thereto, and the audited financial statements for the year ended December 31, 2013 and management’s discussion and analysis relating thereto, are available on SEDAR at www.sedar.com.

About Acceleware

Acceleware develops and markets high performance computing (HPC) software solutions for the energy and engineering industries. These solutions allow customers to speed-up simulation and data processing algorithms, benefitting from HPC technologies such as multi-core CPUs and massively parallel many-core GPUs. Acceleware software, specialized HPC training and consulting services are deployed by companies worldwide such as Boston Scientific, Samsung, LG, General Mills, Nokia, Medtronic, Hitachi, FDA, Mitsubishi, Sony Ericsson, Fugro, GeoTomo and Rock Solid Images to speed up product design, analyze data and make better business decisions.

Source: Acceleware

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use of Rigetti’s Novera 9-qubit QPU. The approach by a quantum Read more…

2024 Winter Classic: Meet Team Morehouse

April 17, 2024

Morehouse College? The university is well-known for their long list of illustrious graduates, the rigor of their academics, and the quality of the instruction. They were one of the first schools to sign up for the Winter Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Leading Solution Providers

Contributors

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire