Listen To The Movement’s New Jam ‘Dancehall’ Ft. Mr. Williamz – Premiere

first_imgThere’s a reason this band is called The Movement. One listen, and you’re sure to be moving and grooving along to their reggae-influenced tunes. With a new album, Golden, due out on April 8th, and a major cross-country tour in support of it, there’s just no telling how high this band can climb.Based out of Columbia, SC, The Movement’s newest album takes its inspiration for the inter-connectedness of the galaxy and human DNA. “I really started to like the idea behind the Fibonacci Code, the Golden Ratio, Golden Mean, Golden Spiral,” says guitarist/vocalist Joshua Swain. “I liked the idea of searching for order and commonality in the chaos. Add to that the idea of requiring a “heart of gold” to inject beauty and goodness into the order and using the word golden as a synonym for perfect… It just made sense to me.”We’re happy to share the very first track from this new release, a song entitled “Dancehall.” Stream the new jam, featuring Mr. Williamz, below:We asked Swain to shed some light on the track’s origins. “Dancehall started out as a slow acoustic ballad, but we felt it wasn’t really living up to its name, so we had to spice it up a little. We were fortunate enough to link up with Mr. Williamz, and with three distinct parts in both style and tempo, we created a unique tale of lost love, music, and magic in the Caribbean,” he said.Golden is not only due out on April 8th, but it will mark the first release on the Rootfire Cooperative, a not-for-profit record label that is owned and operated by artists. Rootfire founder Seth Herman passionately states, “I hope the Rootfire Cooperative can provide micro-financing with the effect of boosting the artists business; and make a positive effect on an entire genre of music.”Check out the full tracklisting for Golden, and don’t miss the band on tour. Full dates can be seen below, and more information is available via the band’s website.Golden Tracklisting 1. Blinded 2. Dancehall (feat. Mr. Williamz) 3. Golden (feat. Elliot Martin) 4. Fair Warning 5. Smoke 6. Rescue 7. On Top (feat. Leilani Wolfgramm) 8. Through the Heart 9. Home 10. Retriever  11. Habit 2016 (feat. Collie Buddz & Bobby Hustle) 12. Wild TimeGolden Hearts Tour DatesMarch 19 @ St. Pat’s in Five Points – Columbia, SC March 23 @ Jack Rabbits – Jacksonville, FL March 24 @ Propaganda – Lake Worth, FL March 25 @ Jannus Live – St. Petersburg, FL  March 26 @ Hooked On Music Festival – Fort Pierce, FL  April 09 @ California Roots: The Carolina Sessions – Myrtle Beach, SCApril 13 @ Riot Room – Kansas City, MOApril 14 @ The Waiting Room – Omaha, NEApril 15 @ Cervantes Other Side – Denver, COApril 16 @ Aggie Theatre – Fort Collins, COApril 18 @ Urban Lounge – Salt Lake City, UTApril 20 @ The Reef – Boise, IDApril 21 @ The Goodfoot – Portland, ORApril 22 @ Wild Buffalo – Bellingham, WAApril 23 @ WOW Hall – Eugene, ORApril 24 @ Nectar Lounge – Seattle, WAApril 27 @ Humbrews – Arcata, CAApril 28 @ The Boardwalk – Sacramento, CAApril 29 @ Slims – San Francisco, CAApril 30 @ The Catalyst – Santa Cruz, CAMay 03 @ Winston’s – San Diego, CAMay 04 @ Saint Rocke – Hermosa Beach, CAMay 05 @ Velvet Jones – Santa Barbara, CAMay 07 @ Reggae On The Block – Orlando, FLJuly 09 @ Levitate Music Festival – Marshfield, MA[Photo via Steven Vandergriff]last_img read more

Supercharging Performance using NVIDIA Virtual Compute Server on Dell EMC Servers

first_imgA new Reference Architecture for NVIDIA Virtual Compute Server (vCS) on Dell EMC infrastructure provides a solution to enable server GPU virtualization.  A recent study that analyzed GPU utilization metrics across different customer sites running AI workloads revealed that GPU resources were underutilized in most cases. Here we present the study’s two key findings, along with recommendations for solving them.Nearly a third of the users are averaging less than 15% utilization. Average GPU memory usage is quite similar. Given that the users are experienced deep learning practitioners, this is very surprising. GPUs are getting faster and faster, but it doesn’t matter if the applications don’t completely use them.Recommendation: Improve utilization by sharing the GPU across multiple users by using virtualization. Those who use optimal batch size, learning rates and hyper-parameters to fully utilize the GPU memory and compute core capabilities can be allocated a dedicated virtualized GPU instance or multiple GPUs inside a single virtual machine (VM).There’s another, probably larger, waste of resources — GPUs that sit unused. It’s hard to queue up work efficiently for GPUs. In a typical workflow, a data scientist will set up many experiments, wait for them to finish, and then spend quite a lot of time digesting the results while the GPUs sit idle.Recommendation: GPU pooling and disaggregation can solve this problem by providing the ability to dynamically re-assign and spin up resources, allowing idle resources to be used by other data scientist applications. Using VMware® vSphere® vMotion™ to dynamically transfer GPU-accelerated VMs and workloads will reduce GPU resources.New NVIDIA A100 offers GPU partitioningNVIDIA® recently announced hardware partitioning with the NVIDIA A100 Tensor Core GPU as a complementary solution to virtualization. The A100 in multi-instance GPU (MIG) mode can run any mix of up to seven AI or HPC workloads of different sizes simultaneously. GPU partitioning is especially useful for AI inferencing jobs as well as early-stage AI development work that typically do not  consume all the performance that a modern GPU delivers. With GPU virtualization software, a virtual machine (VM) can be run on each of these MIG instances so organizations can take advantage of management, monitoring, and operational benefits of hypervisor-based server virtualization.For many years, data centers have used server CPU virtualization to increase IT agility and improve the utilization of their compute hardware. Today, this focus on virtualization is expanding to encompass the GPUs that accelerate many compute-intensive workloads, such as AI training and inferencing as well as data analytics. With virtualization, data centers can make GPUs available to more users, while increasing the overall utilization of these valuable assets.Virtualizing GPUs inside Dell EMC serversAt Dell Technologies, we’ve worked closely with our technology partners to make GPU virtualization available in our line of GPU-accelerated Dell EMC PowerEdge servers. We took a big step in this direction in August 2019 when we rolled out support for NVIDIA Virtual Compute Server software to enable hypervisor-based virtualization on GPU-accelerated servers equipped with NVIDIA Mellanox® ConnectX-5 or newer network interface cards (NICs). NVIDIA Virtual Compute Server allows data centers to accelerate server virtualization with the latest GPUs so that the most compute-intensive workloads can run in virtual machines.Today, we’re taking another big step forward with a new Dell EMC reference architecture for NVIDIA Virtual Compute Server. With this solution, your IT administrators can allocate partitions of GPU resources within VMware vSphere, as well as support the live migration of virtual machines running NVIDIA CUDA™ workloads.There are many valuable benefits in the move to GPU virtualization with Virtual Compute Server with Dell EMC PowerEdge servers. For example, virtualization helps your IT administrators:Democratize GPU access by providing partitions of GPUs on demandScale GPU resource assignments up and down, as needed andSupport live migration of GPU memoryIf your IT organization is considering GPU virtualization in your data center, the Dell EMC reference architecture for NVIDIA Virtual Compute Server is a great place to get started. It walks you through the use cases for Virtual Compute Server and your options for NVIDIA GPUs in Dell EMC PowerEdge servers.Putting Virtual Compute Server to the TestDell Technologies engineers investigated how GPU virtualization with Virtual Compute Server impacts overall performance. These tests initially compared an NVIDIA GPU running on bare-metal Linux to a virtualized GPU. After establishing that baseline of performance, the team conducted additional testing with multiple virtual GPUs and virtual GPU partitions.Test results show that in most cases, users can expect a small difference in performance, in the range of two to five percent, compared to bare metal when using virtual GPU profiles for machine learning and deep learning workloads. And in an interesting twist, there are scenarios where the performance difference is favorable. For example, when VMs running a mix of workloads, you might see faster time to result using multiple fractional GPUs in parallel than you would using a full GPU and scheduling the tasks to run serially. This can occur when workloads across virtual machines aren’t executed at the same time, or aren’t always GPU-bound. Choosing the appropriate GPU scheduling policy can impact performance, and the team compared performance of different scheduling policies.For full details on the performance tests conducted in the Dell EMC Server CTO lab, along with detailed configuration information, see Virtualizing GPUs in VMware vSphere using NVIDIA Virtual Compute Server on Dell EMC infrastructure. Visit here to learn more about Dell EMC PowerEdge server accelerators.last_img read more

Homeless Man Stabbed Mom, Sister in Brentwood, Cops Say

first_imgSign up for our COVID-19 newsletter to stay up-to-date on the latest coronavirus news throughout New York A homeless man has been arrested for breaking into his mother’s Brentwood home where he stabbed her and his sister following an argument on Thursday night, Suffolk County police said.Seyon Layne, who is estranged from his family, entered the house on Strum Street, where the argument with his mother escalated until she ran into a bedroom with her daughter but the suspect forced his way inside shortly before 9 p.m., police said.Layne allegedly stabbed his mother and sister multiple times with a knife before they fled the house and called 911 from a neighbor’s house.K-9 officers apprehended the 26-year-old suspect hiding in a yard of an abandoned home but Layne fought with the police dog, Bema, who bit Layne on his head, police said.Layne resisted arrested and was tased by another officer before he was taken into custody and charged with two counts of assault.Layne’s 45-year-old mother and his 15-year-old sister were both taken to Southside Hospital in Bay Shore where they were admitted in serious condition.Layne was also hospitalized. His arraignment has not yet been scheduled, police said.last_img read more

Spain PM concerned at Madrid spike in virus infections

first_imgTopics : “We are worried about the state of public health and the evolution of the virus in Madrid,” Sanchez said in an interview with news radio Ser.The socialist premier added that “some” regional governments which he did not identify needed to boost their ability to track Covid-19 cases and improve their “strategic capacities” in the fight against the virus.Spain’s central government last week made 2,000 soldiers available to help regional governments, which are responsible for health care, to track people who have been exposed to those infected with virus.So far 11 of the country’s 17 regional governments had requested soldiers, Sanchez said.  Spanish Prime Minister Pedro Sanchez said Tuesday his government is concerned about a spike in coronavirus infections in the capital Madrid.Spain was one of the hardest-hit countries when the coronavirus struck Europe this year before a strict lockdown helped reduce the outbreak’s spread.But infections have surged since the lockdown measures were fully removed at the end of June, especially in Madrid, with the rise in infections often linked to the return of nightlife and social gatherings.center_img Madrid, which is governed by the conservative Popular Party, requested 150 soldiers.Spain registered over 23,000 new Covid-19 cases since Friday, health emergency chief Fernando Simon told a news conference on Monday, bringing the total to 462,858.Of the 1,656 hospitalizations from the disease during the last seven days, 420, or 25 percent, were in Madrid, according to health ministry figures.The region accounted for nearly half of the 141 deaths in the last seven days.Spain has recorded a total of 29,094 virus deaths since the start of the pandemic, one of the world’s highest tolls.last_img read more