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...
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...
With the greater importance of parallel architectures such as GPUs or Xeon Phi accelerators, the sci...
International audienceThis paper introduces a new combination of software and hardware PIM (Process-...
International audienceThis paper presents the implementation of a mapping algorithm on a new Process...
International audienceAll current computing platforms are designed following the von Neumann archite...
The emergence of Next Generation Sequencing (NGS) platforms has increased the throughput of genomic ...
Treatment of patients using high-quality precision medicine requires a thorough understanding of the...
Genome analysis benefits precise medical care, wildlife conservation, pandemic treatment, e.g., COVI...
Nanopore sequencing is a widely-used high-throughput genome sequencing technology that can sequence ...
Processing-using-memory (PuM) techniques leverage the analog operation of memory cells to perform co...
The explosive increase in data volume in emerging applications poses grand challenges to computing s...
DNA carries all the information needed to define the genetic structure of an individual. The large a...
We present our work on hardware accelerated genomics pipelines, using either FPGAs or GPUs to accele...
International audienceBiotechnology progresses lead to an exponential growth of genomic data. This m...
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...
With the greater importance of parallel architectures such as GPUs or Xeon Phi accelerators, the sci...
International audienceThis paper introduces a new combination of software and hardware PIM (Process-...
International audienceThis paper presents the implementation of a mapping algorithm on a new Process...
International audienceAll current computing platforms are designed following the von Neumann archite...
The emergence of Next Generation Sequencing (NGS) platforms has increased the throughput of genomic ...
Treatment of patients using high-quality precision medicine requires a thorough understanding of the...
Genome analysis benefits precise medical care, wildlife conservation, pandemic treatment, e.g., COVI...
Nanopore sequencing is a widely-used high-throughput genome sequencing technology that can sequence ...
Processing-using-memory (PuM) techniques leverage the analog operation of memory cells to perform co...
The explosive increase in data volume in emerging applications poses grand challenges to computing s...
DNA carries all the information needed to define the genetic structure of an individual. The large a...
We present our work on hardware accelerated genomics pipelines, using either FPGAs or GPUs to accele...
International audienceBiotechnology progresses lead to an exponential growth of genomic data. This m...
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...
With the greater importance of parallel architectures such as GPUs or Xeon Phi accelerators, the sci...