You can now easily mine Ethereum with our newly released SignalPop Universal Miner™ where all that you need to do is control your ambient temperature – we take care of the rest!
Built entirely for Windows bases systems (Windows 10 highly recommended), the Universal Miner carefully monitors your GPU’s and keeps their temperatures within a 5 degree Celsius range of the target temperature that you set.
On hot days, we automatically ramp up the fans and on cold days we reduce them.
In addition to temperature control, the Universal Miner monitors the underlying mining software making sure that it continually runs.
Our goal is to keep you mining 24/7!
Mining for Charity
Whether operating a mining farm or running on a home computer, with the SignalPop Universal Miner you can optionally give a portion of your mining time to a charity. During which time your mining work is done on behalf of the charity and your compensation is sent to their Ethereum address.
We give you a link to each charity so that you can vet them and decided which one’s you would like to donate your mining efforts to.
Monitor Your Account
The SignalPop Universal Miner uses the Ethermine Pool for all mining work – to view your account, simply select the ‘Account’ button which will take you directly to your account on their site where you can easily track your earnings.
You can get the free download from our Products page.
In our latest release, version 0.9.1.86, we have added cuDNN support to both the BATCHNORM and ELU layers which provide speed improvements. In addition we have added the following new features and fixes.
BATCHNORM layer now supports the cuDNN engine.
ELU layer now supports the cuDNN engine.
Layer debugging added that allows for easy NAN/INF detection on each pass.
Warnings are now supported in the Output Window.
Mouse-wheel scrolling has been added to the Toolbox Window.
The Model Editor now supports single-stepping both forward and backward passes.
The Model Editor now supports drag-n-drop replacement of Neuron layers.
New Bug Fixes
BATCHNORM layer (CUDA version) had numerous bug fixes.
ACCURACY layer had bug fixes related to NAN output.
POOLING configuration dialog now allows global pooling and kernel sizes of zero.
Stream synchronization improvements added throughout MyCaffe.
T-SNE now properly uses the T-SNE % of images.
Bug fixes added to resolve weight importing issues.
There appear to be several stability issues in the NVIDIA driver version 397.31 (as noted here). We have also experience similar stability issues with this driver and version 397.64 when running on Windows 10. For these reasons, we recommend using the NVIDIA Driver version 391.35 at this time.
We have just released a new beta with a new focus on Windows 10 (specifically 1709 and above). With this release moving forward, Windows 10 will be our primary platform of focus, yet we will continue to run our test cycles on Windows 7.
New Features and Fixes
The following main additions have been added to this release:
Support for newly released CUDA 9.1 (patches 1-3) and cuDNN 7.1.1
Fixed memory overwrites caused during the convolution backward pass when group > 1.
New updated, faster installation.
New Installation Notes
We have changed our installation process in that we now install the SignalPop In-Memory Database Service under the Local Service account. Before using the LOAD_FROM_SERVICE image loading method you will need to do one of the following:
1.) Make sure the Local Service account has access to your DNN database tables (Use the SQL Server Management Studio to make these changes).
2.) Alternatively, change the Service Account used by the SignalPop In-Memory Database service to an account that has access to the tables within the DNN database. This link will show you how to do just that.
We have just dropped a new maintenance release version 0.9.0.427. This release includes the following improvements:
1.) Dramatically improved start-up time.
2.) t-SNE algorithm includes bugs fixed related to very small ‘% of NN to circle’
3.) Dataset naming improved.
4.) First database creation improved.
For a list of all bugs fixed, see our bugs section in the Developer area.
NOTE: Your existing product license key will work with this new release, just install this version and you are ready to go!
If you don’t have the SignalPop AI Designer, you can download an evaluation version for free from the Products area.
IMPORTANT: When using the AlexNet (32×32) or (56×56) resource template, the second convolution layer ‘conv2’ uses a group setting of 2. This causes a known CUDA error when using the CUDNN engine. We recommend for now changing the ‘conv2’ group setting to 1 to work around the issue while we work on a fix.
We have just released a new beta release – version 0.9.0.409 that is fully synced up with the native Caffe open-source project up through 2/1/2018.
New features added in this version include the following:
1.) The deconvolution layer now supports the CUDNN engine.
2.) The BilinearFill has been updated.
3.) All NVIDIA cuDNN errors are now supported up through version 7.0.5.
4.) All NVIDIA CUDA errors are now supported up through version 9.1.
5.) The CUDA.9 low-level interface DLL now use compute_35 and sm_35 (for compute_30, sm_30) use the CUDA.8 low-level interface DLL.
6.) NCCL has been updated to resolve issues caused when training in multi-GPU configuration.
We just released our latest beta release (version 0.9.0.398) with support for CUDA 9.1 and cuDNN 7.0.5 recently released by NVIDIA.
To get the latest and greatest AI development tools from SignalPop, just join our free beta program by selecting Beta user when you sign up. Beta users have full access to the latest SignalPop AI Designer for up to 3 months.