TT, Darjeeling, Oct. 29: An Assembly standing committee has sought a report from the additional chief secretary on the torching of Kurseong MLA’s house and the reason why the legislator was finding it difficult to return home.
The additional chief secretary has been asked by the standing committee on home affairs to submit the report within November 19.
The move could pave the return of MLA Shanta Chhetri and around 40 GNLF leaders who were hounded out of the hills in 2008 allegedly by Gorkha Janmukti Morcha supporters.
Chhetri, speaking to The Telegraph over the phone from Siliguri, said: “I am a member of the standing committees on home, judiciary, jail and general administration. I had submitted a complaint to the chairman of the committee on home affairs, Gyan Singh Sohanpal, on September 21 apprising him of my situation.”
According to Chhetri, the standing committee discussed her complaint on October 12. Seven days later, a letter was sent to the additional chief secretary seeking a report on the the MLA’s complaint within a month. The letter has been written by H.S. Ghosh, a joint secretary of the Assembly.
The additional chief secretary has been asked by the standing committee on home affairs to submit the report within November 19.
The move could pave the return of MLA Shanta Chhetri and around 40 GNLF leaders who were hounded out of the hills in 2008 allegedly by Gorkha Janmukti Morcha supporters.
Chhetri, speaking to The Telegraph over the phone from Siliguri, said: “I am a member of the standing committees on home, judiciary, jail and general administration. I had submitted a complaint to the chairman of the committee on home affairs, Gyan Singh Sohanpal, on September 21 apprising him of my situation.”
According to Chhetri, the standing committee discussed her complaint on October 12. Seven days later, a letter was sent to the additional chief secretary seeking a report on the the MLA’s complaint within a month. The letter has been written by H.S. Ghosh, a joint secretary of the Assembly.
“I have been denied justice till date. My house was burnt on February 18, 2010, even though I have not entered Kurseong since 2007. I immediately filed an FIR and later submitted written information on the people who burnt my house in April but no action has been taken for me to return home,” said Chhetri.
The GNLF leader blamed the Morcha for the attack on her house. “I have been under tremendous pressure. I have always supported the Morcha’s demand for Gorkhaland and have also raised the issue in the Assembly but I do not know why I have been targeted,” she added.
Chhetri could stay in the hills only when her husband was ailing and later to complete his last rites in February 2010 after his death. Presently, she can come till Siliguri.
Chhetri’s move could also help other GNLF leaders return home as the National Human Rights Commission has issued a directive on March 4, asking the state government to ensure the security of all the “affected people” (who had been chased from the hills).
So far, 25 GNLF leaders have written to police expressing their desire to return following which district police chief D.P. Singh sought additional forces from the state to facilitate their return.
Lhabab Duchen observed Chhetri could stay in the hills only when her husband was ailing and later to complete his last rites in February 2010 after his death. Presently, she can come till Siliguri.
Chhetri’s move could also help other GNLF leaders return home as the National Human Rights Commission has issued a directive on March 4, asking the state government to ensure the security of all the “affected people” (who had been chased from the hills).
So far, 25 GNLF leaders have written to police expressing their desire to return following which district police chief D.P. Singh sought additional forces from the state to facilitate their return.
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China built world's fastest super computer named Tianhe-1A 28 Oct 2010, PDT:Tianhe-1A, a new supercomputer revealed today at HPC 2010 China, has set a new performance record of 2.507 petaflops, as measured by the LINPACK benchmark, making it the fastest system in China and in the world today(1)
The Tianhe-1A Supercomputer, located at National Supercomputer Center, Tianjin
Tianhe-1A epitomizes modern heterogeneous computing by coupling massively parallel GPUs with multi-core CPUs, enabling significant achievements in performance, size and power. The system uses 7,168 NVIDIA® Tesla™ M2050 GPUs and 14,336 CPUs; it would require more than 50,000 CPUs and twice as much floor space to deliver the same performance using CPUs alone.
More importantly, a 2.507 petaflop system built entirely with CPUs would consume more than 12 megawatts. Thanks to the use of GPUs in a heterogeneous computing environment, Tianhe-1A consumes only 4.04 megawatts, making it 3 times more power efficient -- the difference in power consumption is enough to provide electricity to over 5000 homes for a year.
Tianhe-1A was designed by the National University of Defense Technology (NUDT) in China. The system is housed at National Supercomputer Center in Tianjin and is already fully operational.
"The performance and efficiency of Tianhe-1A was simply not possible without GPUs," said Guangming Liu, chief of National Supercomputer Center in Tianjin. "The scientific research that is now possible with a system of this scale is almost without limits; we could not be more pleased with the results."
The Tianhe-1A supercomputer will be operated as an open access system to use for large scale scientific computations.
"GPUs are redefining high performance computing," said Jen-Hsun Huang, president and CEO of NVIDIA. "With the Tianhe-1A, GPUs now power two of the top three fastest computers in the world today. These GPU supercomputers are essential tools for scientists looking to turbocharge their rate of discovery." NVIDIA Tesla GPUs, based on the CUDA™ parallel computing architecture, are designed specifically for high performance computing (HPC) environments and deliver transformative performance increases across a wide range of HPC fields, including drug discovery, hurricane and tsunami modeling, cancer research, car design, even studying the formation of galaxies.
The Tianhe-1A Supercomputer, located at National Supercomputer Center, Tianjin
Tianhe-1A epitomizes modern heterogeneous computing by coupling massively parallel GPUs with multi-core CPUs, enabling significant achievements in performance, size and power. The system uses 7,168 NVIDIA® Tesla™ M2050 GPUs and 14,336 CPUs; it would require more than 50,000 CPUs and twice as much floor space to deliver the same performance using CPUs alone.
More importantly, a 2.507 petaflop system built entirely with CPUs would consume more than 12 megawatts. Thanks to the use of GPUs in a heterogeneous computing environment, Tianhe-1A consumes only 4.04 megawatts, making it 3 times more power efficient -- the difference in power consumption is enough to provide electricity to over 5000 homes for a year.
Tianhe-1A was designed by the National University of Defense Technology (NUDT) in China. The system is housed at National Supercomputer Center in Tianjin and is already fully operational.
"The performance and efficiency of Tianhe-1A was simply not possible without GPUs," said Guangming Liu, chief of National Supercomputer Center in Tianjin. "The scientific research that is now possible with a system of this scale is almost without limits; we could not be more pleased with the results."
The Tianhe-1A supercomputer will be operated as an open access system to use for large scale scientific computations.
"GPUs are redefining high performance computing," said Jen-Hsun Huang, president and CEO of NVIDIA. "With the Tianhe-1A, GPUs now power two of the top three fastest computers in the world today. These GPU supercomputers are essential tools for scientists looking to turbocharge their rate of discovery." NVIDIA Tesla GPUs, based on the CUDA™ parallel computing architecture, are designed specifically for high performance computing (HPC) environments and deliver transformative performance increases across a wide range of HPC fields, including drug discovery, hurricane and tsunami modeling, cancer research, car design, even studying the formation of galaxies.
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