International audienceThis paper introduces a new combination of software and hardware PIM (Process-in-Memory) architecture to accelerate the variant calling genomic process. PIM translates into bringing data intensive calculations directly where the data is: within the DRAM, enhanced with thousands of processing units. The energy consumption, in large part due to data movement, is significantly lowered at a marginal additional hardware cost. Such design allows an unprecedented level of parallelism to process billions of short reads. Experiments on real PIM devices developed by the UPMEM company show significant speed-up compared to pure software implementation. The PIM solution also compared nicely to FPGA or GPU based acceleration bringin...
This report details the accomplishments of the 'Building More Powerful Less Expensive Supercomputers...
Genome analysis benefits precise medical care, wildlife conservation, pandemic treatment, e.g., COVI...
Many modern workloads, such as neural networks, databases, and graph processing, are fundamentally m...
International audienceThis paper introduces a new combination of software and hardware PIM (Process-...
International audienceAll current computing platforms are designed following the von Neumann archite...
International audienceThis paper presents the implementation of a mapping algorithm on a new Process...
Many high performance applications run well below the peak arithmetic performance of the underlying...
Many high performance applications run well below the peak arithmetic performance of the underlying ...
The explosive increase in data volume in emerging applications poses grand challenges to computing s...
Workloads involving higher computational operations require impressive computational units. Computat...
General purpose processors and accelerators including system-on-a-chip and graphics processing units...
International audienceThe tipping point for adoption of PIM is imminent for three main reasons: • Fi...
Processing-in-memory (PIM) offers a viable solution to overcome the memory wall crisis that has been...
The Problem: There is a need for computer systems which can provide large amounts of computing power...
Decades after being initially explored in the 1970s, Processing in Memory (PIM) is currently experie...
This report details the accomplishments of the 'Building More Powerful Less Expensive Supercomputers...
Genome analysis benefits precise medical care, wildlife conservation, pandemic treatment, e.g., COVI...
Many modern workloads, such as neural networks, databases, and graph processing, are fundamentally m...
International audienceThis paper introduces a new combination of software and hardware PIM (Process-...
International audienceAll current computing platforms are designed following the von Neumann archite...
International audienceThis paper presents the implementation of a mapping algorithm on a new Process...
Many high performance applications run well below the peak arithmetic performance of the underlying...
Many high performance applications run well below the peak arithmetic performance of the underlying ...
The explosive increase in data volume in emerging applications poses grand challenges to computing s...
Workloads involving higher computational operations require impressive computational units. Computat...
General purpose processors and accelerators including system-on-a-chip and graphics processing units...
International audienceThe tipping point for adoption of PIM is imminent for three main reasons: • Fi...
Processing-in-memory (PIM) offers a viable solution to overcome the memory wall crisis that has been...
The Problem: There is a need for computer systems which can provide large amounts of computing power...
Decades after being initially explored in the 1970s, Processing in Memory (PIM) is currently experie...
This report details the accomplishments of the 'Building More Powerful Less Expensive Supercomputers...
Genome analysis benefits precise medical care, wildlife conservation, pandemic treatment, e.g., COVI...
Many modern workloads, such as neural networks, databases, and graph processing, are fundamentally m...