Over the last couple of years, we have focused extensively on the hardware required for training deep neural networks and other machine learning algorithms. … “FPGAs Focal Point for Efficient Neural Network Inference”
At the end of 2016, Amazon Web Services announced it would be making high-end Xilinx FPGAs available via a cloud delivery model, beginning first in a developer preview mode before branching with higher-level tools to help potential new users onboard and experiment with FPGA acceleration as the year rolls on. … “AWS Details FPGA Rationale and Market Trajectory”
There is little doubt that this is a new era for FPGAs. … “FPGA Frontiers: New Applications in Reconfigurable Computing”
FPGAs have been an emerging topic on the application acceleration front over the last couple of years, but despite increased attention around use cases in machine learning and other hot areas, hands have been tied due to simply on-boarding with both the hardware and software. … “The FPGA Accelerated Cloud Push Just Got Stronger”
Every new hardware device that offers some kind of benefit compared to legacy devices faces the task of overcoming the immense inertia that is imparted to a platform by the software that runs upon it. … “Stacking Up Software To Drive FPGAs Into The Datacenter”
While much of the work at Baidu we have focused on this year has centered on the Chinese search giant’s deep learning initiatives, many other critical, albeit less bleeding edge applications present true big data challenges. … “Baidu Takes FPGA Approach to Accelerating SQL at Scale”
Over the last couple of years, the idea that the most efficient and high performance way to accelerate deep learning training and inference is with a custom ASIC—something designed to fit the specific needs of modern frameworks. … “FPGA Based Deep Learning Accelerators Take on ASICs”
At the last five annual Supercomputing Conferences, an underlying theme has been the potential of accelerators. … “FPGAs Glimmer on the HPC Horizon, Glint in Hyperscale Sun”
IBM did not just stake the future of its Power chip and the systems business on which it depends on the OpenPower Foundation, a consortium now with 160 members after more than two years of cultivation by Big Blue and its key early partners – Google, Nvidia, Mellanox Technologies, and Tyan. … “OpenPower: Accelerated Computing Will Be The New Normal”
There has been a noticeable interest uptick in reconfigurable computing devices, most notably, field programmable gate arrays (FPGAs). … “FPGAs Edging Closer to the Enterprise Starting Line”
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