Al Wegener

Al Wegener is the CTO and founder of Samplify Systems, a fabless semiconductor startup in Santa Clara, Calif. He holds 17 patents and is named on additional Samplify patent applications. He earned a BSEE from Bucknell University and an MSCS from Stanford University.

Articles
HEVC Improves Mobile Video Performance
The HEVC video standard is a significant improvement over its predecessor, AVC. It delivers the same quality at half the rate, or better quality at the same rate. Implementation is much easier as well.
Compression Requires The Right Tool For The Job 2
A universal encoder for all datatypes, the equivalent of “one tool for all jobs,” would be exceedingly useful. Different encoders such as the WKdm and APAX bring various strengths and weaknesses to different applications, though.
Compress Climate And Physics Datasets By Four To Six Times For Petascale Computing
In high-performance computing (HPC) applications, “time to results” can be directly related to the rate at which numerical datasets, such as climate measurements, are read from disk, as well as the rate at which simulation results, such as 3D physics arrays, are stored to disk drives.
Big Data Plumbing Problems Hinder Cloud Computing 1
Today's trends in big data and cloud computing will lead to huge traffic jams on the Web. Alternative solutions for moving petabytes of data, though, should ease the crunch.
HPC And “Big Data” Apps Tap Floating-Point Number Compression 1
Samplify CEO Al Wegener argues for inclusion of compress-decompress blocks in hardware accelerators for high-performance computers that handle large floating-point arrays.
The Memory Wall Is Ending Multicore Scaling
Analysis of "memory-wall" problems in multi-core systems, with possible solutions
Compression Reduces The Cost Of 4G Wireless Remote Radio Heads
4G has bandwidth problems even between the top and the bottom of each basestation tower. Data compression offers a way to reduce this facet of cellular infrastructure cost.
Compression Reduces The I/O Bottlenecks Of Multicore Computing 2
Samplify's Prism FP can compress floating point data using lossy or lossless algorithms. Reducing data size is handy for moving data through GPUs and other bandwidth limited environments.
Reduce The Cost Of Your CPRI Links For 3G And 4G Wireless
Consider the use of CPRI compression to reduce costs of fiber links from basestation to remote radio head.
As Compression Technologies Reach Their Limits, What’s Next?
Rather than focusing on just the traditional rate-distortion tradeoff, engineers are actively looking for compression algorithms with low complexity and low latency.
Compress CT Samples At 64 Gbits/s
Find out how 4:1 compression can save significant costs on CT scanner

Search Parts

 

Powered by:

The Original Electronics Parts Search And Procurment Tool
 

 

Connect With Us

Sponsored Introduction Continue on to (or wait seconds) ×