In their IEEE paper, Gordon Bell and Ike Nassi re-examine coherent shared memory when servers can be software-defined.
IEEE Scaling the Computer to the Problem
In his IEEE paper, Ike Nassi explores Application Programming with Unlimited Memory.
Guide to Software-Defined Servers in the Data Center, featuring Gartner Research
Download this guide to adding the missing piece of the Software-Defined Data Center puzzle.
7 Technology Trends Driving the Industry to Software-Defined Servers
In the era of Big Data, the pace of progress on server motherboards is not your friend.
7 Challenges of Working with IoT Retail Data: A TidalScale + Sirqul White Paper
Retailers are considering IoT solutions for in-store intelligence, but can't afford to wait for insights. Now they don't have to. Read how Sirqul and TidalScale are solving it.
Using Containers to Deliver Efficient Private Cloud
Software-Defined Servers are having a disruptive effect on our notion of virtualization and containers, especially on container efficiency.
Optimizing Oracle DB Performance with Memoptimize Pool & Software-Defined Servers
Learn how new memoptimize features in Oracle 18c, combined with Software-Defined Servers, can dramatically optimize performance.
Shifting the Balance of Security from Attacker to Defender with TidalScale
Learn why TidalScale Software-Defined Servers can actually harden the security of the hardware systems they use.
Test Automation with TidalScale, Docker & Jenkins
At TidalScale, we use Jenkins to run all testing. The combination of Jenkins, Docker and TidalScale has increased our testing throughput by more than an order of magnitude.
TidalScale Open Source R Benchmark
A benchmark comparison of a R statistical analysis workload on a 5-node TidalScale Software-Defined Server versus a bare metal system.
The Economics of Software-Defined Servers
An exploration of the economic benefits of Software-Defined Servers.
The Wandering CPU
An allegorical description of why TidalScale's Software-Defined Servers work.
Amdahl versus Gustafson
Many experts will quote Amdahl’s Law as if it applies to every problem; relatively few are aware of Gustafson’s Law. It turns out that most people scale systems up not to make a particular problem run faster, but to handle larger and larger problems of the same sort.